Asset Type: Blog

Redefining Digital Security: Innovations in Cybersecurity Analytics

Posted on by Nicole Tidwell

In our digitally driven world, cybersecurity threats loom larger and more complex than ever before. Against this backdrop, cybersecurity analytics has emerged as a critical shield to outsmart sophisticated cyber threats. Central to this evolution is Sertainty and its UXP Technology, a trailblazer in Self-Protecting data security and a major catalyst to strategic partnerships that redefine the boundaries of cybersecurity analytics.

The Growing Need for Cybersecurity Analytics

Cyber threats have transformed in severity. Gone are the days when simple firewalls and antivirus software sufficed to safeguard a network. Today’s digital villains wield advanced tools that ranked cybercrime as a top ten most severe global risks by the World Economic Forum in 2023.

This new era demands a shift towards more sophisticated cybersecurity protocols, such as real-time data analysis and predictive capabilities, to stay ahead of malicious actors. Among these, cybersecurity analytics is perceived as the linchpin in understanding and neutralizing cyber threats. It transcends traditional defense mechanisms, enabling proactive threat detection, in-depth analysis, and timely response. 

A crucial aspect of cybersecurity analytics technologies is their contribution to defense-in-depth frameworks. This approach to cybersecurity involves multiple layers of defense spread across different parts of a network.

Today, it’s not enough to “set and forget” digital defenses or rely on a single, unchanging methodology. Integrating and continuously leveraging advanced analytics to evolve cybersecurity strategies has become a necessity for survival in today’s cyber terrain. 

Best Practices in Cybersecurity Analytics

The integration of technologies like AI opens the door for transformation in cybersecurity strategies. AI brings a data analyst capability regarding advanced data processing and pattern recognition, enabling security systems to identify and respond to threats more rapidly and accurately than ever before. By analyzing vast amounts of data at an unprecedented speed, AI can detect anomalies that might indicate a security breach, thereby enhancing the effectiveness of cybersecurity measures. 

Artificial intelligence and the Internet of Things (IoT) technologies enhance this layered defense strategy by adding advanced detection and response capabilities at various levels. AI’s ability to learn and adapt to new threats complements the defense-in-depth strategy by continuously evolving the security measures in place. This not only adds depth to the cybersecurity defenses but also ensures a more resilient and robust protection system.

Similarly, IoT technology expands the scope of cybersecurity analytics by extending protection to a myriad of interconnected devices. The vast network of IoT devices generates a large amount of data, which, when analyzed, can provide valuable insights into potential security threats. IoT devices, often being the weakest link in security, can benefit significantly from advanced analytics, ensuring that threats are identified and mitigated before they can exploit these devices. 

At the core of effective cybersecurity analytics is a data-centric approach. This strategy prioritizes the protection of data itself rather than just focusing on the perimeter defenses. By empowering data, for instance, with the Sertainty Active Intelligence, each piece of information becomes capable of autonomously defending itself against threats. This approach aligns perfectly with the principles of defense-in-depth, as it adds an additional, critical layer of security that focuses on protecting the data directly, no matter where it resides within the network. 

Common Cybersecurity Analytics Challenges

Mastering cybersecurity analytics is marked by a myriad of challenges. These challenges arise from various aspects of the cybersecurity domain and require a multifaceted approach for effective management and resolution.

One of the primary challenges in cybersecurity analytics is the constantly shifting nature of emerging cyber threats. Hackers and cybercriminals are continually developing new techniques and strategies to breach security systems. This means that the algorithms and models used in cybersecurity analytics must also be constantly updated and reimagined to identify and counteract new attacks. Staying ahead of these evolving threats requires not only advanced technology but also a deep understanding of the latest trends in cybercrime. 

Another potential area of concern is the fact that cybersecurity threats require immediate identification and response. The challenge here is not just detecting threats but doing so in real time and providing a rapid response. Delayed detection or response can lead to significant damage, making speed and efficiency critical components in cybersecurity analytics. 

With the expansion of digital networks and the proliferation of IoT devices, the volume of data that needs to be analyzed for potential threats has also grown exponentially. This massive volume of data presents a significant challenge, as it requires sophisticated tools and algorithms to process and analyze matters effectively. Moreover, the complexity of this data, which often includes unstructured and varied formats, adds another layer of difficulty in extracting meaningful insights for cybersecurity. 

In many organizations, cybersecurity systems need to integrate with various other systems and technologies. This integration can sometimes be challenging due to compatibility and interoperability issues. Ensuring that different systems can effectively communicate and work together is crucial for efficient cybersecurity analytics.

Similarly, the field of cybersecurity analytics is highly specialized, requiring a combination of skills in data science, cybersecurity, and information technology. There is often a skill gap in the industry, with a shortage of professionals who possess the comprehensive expertise needed to effectively analyze and interpret cybersecurity data. This shortage can hinder the development and implementation of effective cybersecurity analytics strategies. 

Despite these challenges, advancements in technology and strategic collaborations are creating pathways to overcome these hurdles. Innovative solutions are being developed to address the specific needs of cybersecurity analytics, including more sophisticated data analysis tools, improved integration capabilities, and real-time threat detection and response systems. These solutions, often born from collaborations between industry leaders and cybersecurity experts, are key to effectively navigating the challenges of cybersecurity analytics and enhancing overall digital security. 

Advancements in Cybersecurity Analytics

Looking to the future, the recent partnership between Sertainty and GuardDog AI marks a significant advancement in cybersecurity analytics. GuardDog AI’s prowess in AI-driven incident response, combined with Sertainty’s Data Security Platform, creates a formidable force in cybersecurity. This collaboration enhances cybersecurity analytics by streamlining incident responses and fortifying data protection strategies. 

AI’s role in cybersecurity incident response is pivotal. When combined with the expansive capabilities of IoT, it leads to a more comprehensive analytical framework. This integration not only bolsters security measures but also brings a nuanced understanding of cyber threats, enhancing overall analytics efficiency. 

These strategic collaborations aren’t just about enhancing current security measures; they’re about setting new industry standards. By redefining the paradigm of data security, Sertainty and its partners are charting a course toward a future where cybersecurity is more intelligent, responsive, and impenetrable. 

Meeting the Future of Cybersecurity with Sertainty

The advancement of cybersecurity analytics is a cornerstone in the modern digital landscape, and Sertainty, along with its strategic partners, is at the forefront of this revolution. By staying informed and adopting these advanced cybersecurity measures, organizations can ensure they are well-equipped to face the cyber challenges of today and tomorrow. 

As a leader in data-level security and self-protecting data technology, Sertainty leverages proprietary processes that enable data to govern, track, and defend itself. These protocols mean that even if systems are compromised or accessed from the inside, all data stored in them remains secure. 

At Sertainty, we know that the ability to maintain secure files is the most valuable asset to your organization’s continued success. Our industry-leading Data Privacy Platform has pioneered data solutions that are intelligent and actionable, helping companies move forward with a proven and sustainable approach to their cybersecurity needs. 

As the digital landscape evolves and networks become more widely accessible, Sertainty is committed to providing self-protecting data solutions that adapt and grow to defend sensitive data. Security threats may be inevitable, but with Sertainty, privacy loss doesn’t have to be. 

EtherHiding: Understanding and Mitigating the New Cybersecurity Threat

Posted on by Nicole Tidwell

The world of technology is ever-advancing, opening new doors to interoperability and global connectivity. However, cybersecurity threats keep pace with each new evolution, becoming as consistent as the advancements themselves. One such emerging threat in the blockchain space, catching the attention of security experts worldwide, is EtherHiding. This new method of cyberattack poses unique challenges and necessitates a fresh approach to data protection. 

What Is EtherHiding?

EtherHiding is a sophisticated cybersecurity threat that utilizes blockchain technology to conceal malicious code. This technique represents a significant shift in the landscape of digital threats, merging the advanced capabilities of blockchain with the nefarious intentions of hackers.

At the heart of these attacks lies an ingenious exploitation of the Binance Smart Chain (BSC), a blockchain platform known for its efficiency and versatility in handling smart contracts. Cybercriminals often target WordPress sites, which are widely used due to their versatility and popularity. These sites become unwitting conduits in a sophisticated cyberattack chain. 

The attack begins with the defacement of these websites, often masked under the guise of legitimate-looking browser update prompts. Unsuspecting users, believing these prompts to be authentic, are tricked into downloading malware. This deceitful strategy represents a departure from conventional hacking methods that typically target system vulnerabilities directly. Instead, EtherHiding exploits the trust and routine behaviors of users, turning regular web interactions into potential security breaches.

Once the user interacts with these deceptive overlays, the attack leverages the Binance Smart Chain to embed malicious code within the blockchain transactions. This method effectively circumvents traditional cybersecurity measures, which are primarily designed to shield against direct intrusions into the system rather than insidious code embedded in an otherwise legitimate blockchain transaction. The seamless integration of the malicious code into the blockchain makes it a particularly resilient form of malware, benefiting from the blockchain’s decentralized and immutable nature.

As such, these techniques represent a confluence of cyberattack methodologies — combining social engineering to lure victims with the advanced use of blockchain technology to execute the attack. This novel approach necessitates a reevaluation of standard cybersecurity practices and highlights the need for more sophisticated, adaptive, and comprehensive digital security strategies. 

Impacts on Cybersecurity

The introduction of EtherHiding into the cybersecurity landscape marks a significant escalation in cyber threats, particularly given its use of blockchain technology. This innovative method has broad implications.

  • Increased Vulnerability of Sensitive Data: This type of attack targets not just financial systems but any blockchain-based platform, putting a wide range of sensitive data at risk. This could include personal identification information, trade secrets, and even national security data. The confidentiality and integrity of this data are compromised, leading to potential identity theft, financial fraud, and other forms of cybercrime. 
  • Erosion of Trust in Blockchain: Blockchain technology is lauded for its security and immutability. However, EtherHiding exploits these features to hide malicious code, thereby undermining trust in blockchain networks. This could slow down the adoption of blockchain technology in various sectors, including finance, healthcare, and government. 
  • Financial Implications: For businesses, the costs associated with breaches like these can be multifaceted. They range from direct financial losses due to theft or fraud to indirect costs such as damage control, system audits, increased insurance premiums, and loss of customer trust. 
  • Regulatory and Compliance Challenges: Companies that fall victim to attacks may face regulatory scrutiny and compliance issues, especially in industries where data protection is heavily regulated. This can result in hefty fines and legal costs, further exacerbating the financial impact. 

Challenges in Detecting and Mitigating EtherHiding

Detecting and mitigating EtherHiding poses significant challenges, predominantly due to its advanced nature and the incorporation of blockchain technology. Traditional cybersecurity measures, typically geared towards identifying code anomalies or unauthorized access, often fall short in the face of these attacks. This is because the malicious code is cleverly embedded within blockchain transactions, enabling it to evade detection and remain a hidden threat for prolonged periods. This stealthy characteristic allows the malicious code to inflict considerable damage before being discovered. 

Another critical challenge is the immutable nature of blockchain technology. Once EtherHiding embeds its malicious code into a blockchain, altering or removing it becomes an impossible task due to the blockchain’s inherent design. This characteristic of blockchain renders traditional mitigation strategies, which often involve removing or altering the code, ineffective. 

Furthermore, these attacks exhibit a dynamic and adaptive nature. Attackers can modify and update the embedded code, constantly changing the threat’s behavior and making it a moving target for cybersecurity teams. This necessitates continuous and vigilant monitoring and frequent updating of security protocols, which can be both complex and resource-intensive. 

Responding to Incidents

The process of responding to an EtherHiding attack is multifaceted, extending beyond mere technical resolution. It involves navigating legal, regulatory, and reputational aspects, adding layers of complexity to the response strategy. Organizations must balance these considerations while striving to secure their systems against such attacks.

Effectively combatting sophisticated breaches of this nature demands specialized knowledge in both cybersecurity and blockchain technology. This specialized knowledge is not always readily available, presenting an additional hurdle for many organizations in their efforts to secure their systems against this sophisticated cyber threat. The convergence of these factors makes EtherHiding a particularly formidable challenge in the field of cybersecurity.

Best Practices to Protect Against EtherHiding

To guard against this new style of cyber threat, organizations must adopt a multi-layered security strategy. This includes staying vigilant, regularly updating security protocols, and educating employees about the risks of such sophisticated attacks. Implementing comprehensive cybersecurity is key to protecting sensitive data. Furthermore, the dynamic nature of threats like EtherHiding calls for adaptive cybersecurity measures that can evolve to overcome groundbreaking attack vectors.

Comprehensive Data Security Solutions 

In response to the evolving digital landscape, Sertainty technology offers a robust cybersecurity solution. Our data-level security approach is uniquely equipped to combat the new, sophisticated generation of threats. By empowering data to protect itself, Sertainty provides a resilient line of defense against advanced cyberattacks — no matter where, when, or how they occur.

Understanding and addressing emerging cyber threats is crucial in today’s digital age, and staying proactive can make a significant difference in safeguarding against such advanced attacks. For those looking to fortify their cybersecurity defenses against innovative threats like EtherHiding, exploring Sertainty’s solutions is a step toward achieving advanced cybersecurity protection.

Why Cybersecurity Is the Cornerstone of Data as a Product (DaaP)

Posted on by Nicole Tidwell

In today’s rapidly evolving digital landscape, the importance of data security cannot be overstated. We’re entering an era where data is not just a byproduct of business operations; it’s the lifeblood of success. This brings us to the concept of Data as a Product (DaaP), a strategic approach that’s reshaping how organizations perceive and leverage their data. In this journey, we’ll explore the profound role of data-level security in DaaP and how it can be the key to unlocking unprecedented advantages in the data-driven world.

Understanding Data as a Product

Data as a Product isn’t just a buzzword; it’s a transformative strategy for the way we handle and consider information. At its core, DaaP involves treating your data not merely as a supporting actor but as the star of the show. It means packaging, presenting, and delivering your data as if it were a product on the market. 

The motivation behind this shift is clear: Data, when managed and secured correctly, has the potential to generate immense value. More organizations are adopting DaaP to monetize their data assets, enable data-driven decision-making, and gain a competitive edge in their industries. 

Viewing data as a product is gaining traction not only in the private sector but also among federal agencies. Increasingly, federal agencies are recognizing the power of DaaP to harness the data they generate and curate, enabling them to make data-driven decisions, unlock new insights, and enhance their overall effectiveness. 

These benefits for both federal organizations and private companies are undeniable, but they come with a caveat: the need for impeccable data security.

The Role of Data-Level Security in DaaP

Data-level security is the linchpin of a robust and effective DaaP strategy. While traditional security models have primarily relied on perimeter defenses like firewalls and encryption, they often fall short when it comes to safeguarding the core asset: the data itself. Imagine a castle with well-guarded gates but no protection for the treasures inside — this analogy mirrors the limitations of perimeter-focused approaches.

Data-level security takes a revolutionary approach by redefining the perimeter. Instead of concentrating solely on external threats, it recognizes that data can traverse beyond the traditional boundaries of an enterprise’s control. This means that your data can be anywhere — within your corporate network, stored in the cloud, or in transit to a partner site — and still remain shielded. By embedding security directly into the data, it becomes an active participant in its own defense, ensuring uninterrupted protection.

Eliminating Data Silos

Data silos have long been a headache for organizations, creating fragmented and disconnected repositories of information, each with its own set of security protocols. When considering Data as a Product, data must seamlessly flow across departments and partners, meaning these silos pose a significant challenge. However, data-level security brings much-needed order to this chaos.

By unifying and standardizing security across all data, regardless of its location or type, data-level security eliminates the inherent vulnerabilities of data silos. Whether you’re dealing with customer data in your CRM, financial records in your accounting software, or critical research information in cloud storage, this approach ensures a consistent and high level of secure data governance. It not only streamlines data management but also enhances security in a DaaP ecosystem where trust and reliability are paramount.

Simplified and Enhanced Security

Traditional security measures can often resemble an intricate maze constructed around your data — challenging to navigate, maintain, and secure. Data-level security flips this paradigm entirely. When your data is inherently safeguarded, it obviates the need for complex layers of defense.

In practice, this translates to streamlined security policies, reduced complexity, and substantial cost savings. Moreover, data-level protection provides unparalleled security by ensuring that only authorized individuals and systems can access and interact with your data. This level of security is especially critical in DaaP, where data is not only a product but also a trusted currency. With data-level security, consumer trust is bolstered and the integrity of data is maintained throughout its journey, whether it’s at rest or in transit.

Best Practices for Data-Level Security in DaaP

Efficiently implementing data-level security necessitates a methodical approach deeply rooted in cybersecurity principles. Commence with a thorough data audit, meticulously identifying and categorizing sensitive data. Subsequently, formulate explicit policies and access controls that harmonize with your DaaP objectives. 

It’s imperative that the data security solution you opt for is robust and can seamlessly integrate within your existing infrastructure. Vigilantly conduct periodic audits and surveillance of data access, promptly addressing any detected anomalies with an eye toward emerging threat vectors. 

Last but not least, enlighten your teams on the paramount significance of data-level security and cultivate a corporate ethos where data protection is intrinsic. These strategies will act as your guiding light on the path to a secure and prosperous DaaP strategy.

Embracing the Future of Secure Data Governance

The digital landscape is evolving, and data is at the center of it all. That’s why the road to success in the data-driven world of DaaP is paved with data-level security. It’s the foundation that eliminates data silos, simplifies security practices, and ensures that your data remains a trusted and valuable asset. 

As you embark on your DaaP journey, remember that the security of your data is non-negotiable. Implementing the right secure data governance strategy will not only protect your data but empower you to unlock the full potential of Data as a Product. 

As a leader in data-level security and self-protecting data technology, Sertainty knows that maintaining secure access to your files is the most valuable asset to your organization’s continued success. Our industry-leading Data Privacy Platform has pioneered data solutions that are intelligent and actionable, helping companies move forward with a proven and sustainable approach to their cybersecurity needs. 

As the digital landscape evolves and networks become more widely accessible, Sertainty is committed to providing self-protecting data solutions that adapt and grow to defend sensitive data. New threats to your data may be inevitable, but with Sertainty, privacy loss doesn’t have to be. 

How Advanced Cybersecurity Can Solve Data Silos

Posted on by Nicole Tidwell

In the digital age, data reigns supreme. It’s the lifeblood of businesses, driving decisions, innovation, and growth. But lurking within many organizations is a problem that threatens to stifle progress and undermine security: data silos. These isolated data pockets hinder collaboration, breed inefficiency, and pose significant security risks. Traditional cybersecurity methods have struggled to address this issue effectively. 

This is not to say that organizations have to resign themselves to the compromises of data silos. Advanced cybersecurity solutions, particularly data-level security, provide an answer to the limitations of conventional approaches. In this article, we’ll take a look at how a data-level security approach can address data silos and enable fundamentally more secure, efficient data governance. 

Understanding Data Silos

In the intricate landscape of modern organizations, data silos represent a significant and often invisible challenge. These digital fortresses materialize when data is cordoned off into distinct systems, departments, or repositories, creating partitioned islands of information. This segregation erects formidable barriers that impede the flow, accessibility, and efficient utilization of data. 

The genesis of data silos can be traced to various sources. They often evolve organically, springing from disparate data collection systems, departmental specialization, or the use of incompatible software and technologies. Silos can also emerge as a result of organizational mergers and acquisitions, where different legacy systems stubbornly maintain their autonomy, further exacerbating the problem. 

The implications of data silos reverberate across both private businesses and government agencies. Firstly, they hamstring productivity and innovation. Imagine a scenario where a marketing team can’t readily access customer information from the sales department, or analysts are thwarted in their quest to merge data from multiple sources to form comprehensive, accurate results. The result is inefficiency, redundancy, and missed opportunities for data-driven insights. 

The Security Risks of Data Silos

In addition to hindering productivity, data silos pose a grave security risk. Typically, traditional cybersecurity measures invest heavily in perimeter defense — fortifying the outer walls of the organization’s networks. However, these defenses often neglect to safeguard data at its very core. Specifically, data trapped within silos is frequently inadequately protected, with inconsistent or subpar security protocols in place. This vulnerability makes data silos attractive targets for cybercriminals who seek to exploit these weak points for their own gain.

For government agencies, the stakes are equally high. Siloed data within governmental departments can lead to fragmented decision-making and hinder the efficient provision of public services. It can also hamper cross-agency collaboration, a crucial aspect of addressing complex challenges in today’s interconnected world.

Secure Data Governance and Data Silos

Data silos pose many complex challenges, but advanced data security measures can effectively address these issues. This vision is at the heart of self-protecting data, a revolutionary concept in the realm of data security. Unlike conventional cybersecurity methods, which rely heavily on perimeter defenses, self-protecting data takes a more dynamic and proactive approach. 

Self-protecting data is akin to having a sentient guardian for your information assets. It can assess who is trying to access it, from where, and under what circumstances. When faced with unusual or suspicious access attempts, it can take immediate protective actions, such as revoking access or initiating heightened security measures. This transformative capability not only ensures data security but also paves the way for the dismantling of data silos that have long hindered organizations’ productivity and growth. 

From the confines of your corporate network and secure storage clouds to the transitional periods in between partner sites, data security must not have any gaps, either at rest or in transit. This is where data-level security technology is revolutionizing the cybersecurity landscape. 

Unlike traditional security paradigms that construct fortress-like defenses around data, this framework adopts a radically different approach. It’s about embedding security directly into the data itself, making protection an inherent and inseparable part of the data. With true data-level security, your data remains unwaveringly safeguarded throughout its journey. These defenses transcend the confines of traditional cybersecurity, ensuring that data protection isn’t bound to specific locations or barriers. 

While data-level security is a pivotal piece of the puzzle, its true potential shines when it becomes part of a more extensive and holistic strategy — secure data governance. Data governance isn’t just about safeguarding data; it encompasses a comprehensive framework of policies, procedures, and controls that ensure data integrity, consistency, and responsible usage across the organization. 

Unlocking the Potential of Your Data

The advantages of implementing data-level security extend beyond the surface, profoundly impacting the way organizations manage, utilize, and secure their data. One of the paramount benefits is the dissolution of data silos, a transformation that can revolutionize an organization’s Data as a Product (DaaP) strategy. 

In a DaaP model, where data is treated as a valuable product to be packaged and delivered, the elimination of data silos is invaluable. Silos hinder productivity by creating barriers between different departments and data sources. With data-level security, these barriers are torn down. Imagine the marketing team seamlessly accessing customer data from the sales department, or analytics teams combining insights from various sources without friction. Data becomes fluid, promoting cross-functional collaboration and data-driven decision-making. 

The Impact of Enhanced Data Security

The advantages of dissolving data silos go beyond convenience. As we’ve already noted, eliminating silos is not just about streamlining operations but also safeguarding your most critical asset — your data. It’s about fortifying data against modern cyber threats. 

When data is scattered in silos, each silo operates as a separate security entity, often with varying levels of protection. This inconsistency leaves vulnerabilities that cybercriminals can exploit. Data-level security ensures that every piece of data, regardless of where it’s stored, enjoys the same high level of protection. 

Empowering Your Data with Sertainty

In the ever-evolving digital landscape, data is not just a resource; it’s a strategic asset. The challenges posed by data silos are real, but with advanced cybersecurity solutions like Sertainty’s data-level security solutions, these barriers can be torn down. 

Sertainty’s data-level security seamlessly integrates with a broader approach to data governance. It isn’t just about protection; it’s about effective management and control of data assets. A cohesive data strategy doesn’t merely break down data silos; it obliterates them. It promotes transparency, enabling organizations to trace data’s journey and usage while ensuring that it adheres to predefined policies and regulations. 

Are you ready to transform your data from a passive resource into an active, secure, and valuable asset, aligned with the organization’s goals and objectives? Learn more about our array of leading cybersecurity tools. 

DevSecOps: The Future of Built-In Cybersecurity

Posted on by Nicole Tidwell

In today’s volatile world of ever-emerging cybersecurity threats, effective security solutions are more essential than ever before. In the past, cybersecurity was perceived as ancillary to Information Technology activities, but developers are increasingly turning to new methods that blend such more effectively like DevSecOps—which is a process and not technology. It’s a cultural and engineering practice that breaks down barriers and opens collaboration between software development, security, and operations to instill a rationale oriented around automation and delivery. 

What Is DevSecOps?

In the domain of cybersecurity and software development, modern challenges are being met by a strategic approach known as DevSecOps. In essence, it’s a cohabitation encompassing Security and Operations development. DevSecOps embodies a philosophy that seeks to integrate security practices seamlessly into the software development lifecycle. 

DevSecOps promotes a cultural shift that shatters traditional silos, fostering a shared responsibility for security across the development pipeline. This means that security isn’t merely an add-on or a final checkpoint. It becomes a proactive and integral part of every phase: planning, coding, testing, and deployment. Vulnerabilities and risks are identified early, allowing for timely mitigation and reducing the potential impact of security breaches.

While it may seem simple to code security into your programs, not all factors are necessarily in a user’s control. Today, many companies employ in-house software engineers, albeit, much of the code is programmed by open-source developers. In fact, a 2019 report found that 96% of codebases contain at least some open-source code. While using open-source code does not negate the possibility of DevSecOps, it does mean that security solutions must account for all code, including programming written by other developers. 

DevSecOps, in its essence, promotes harmony, collaboration, and a shared sense of responsibility among development, security, and operations. It envisions a world where security isn’t an obstacle but a guiding principle, enabling organizations to build resilient, secure, and high-quality software while maintaining agility and speed. In this paradigm, security is no longer a checkpoint — it’s the guiding star that illuminates the path to digital resilience.

The Current State of DevSecOps

According to the 2023 Application Development Software Global Market Report, the application development software market is expected to grow from $334.86 billion this year to $915.96 billion in 2027. Not only are those numbers significant, but they represent an average Combined Annual Growth Rate (CAGR) of well over 28%. 

Enterprises and IT Integrators are continuously looking to stage projects along five phases: business modeling, data modeling, process modeling, application generation, and testing and turnover. Applying cryptography from the start has been difficult due to a dependency on a key management system that encrypts and decrypts an application or data and generates latency in the process.  

The Growing Importance of Inherent Security

Perhaps the greatest value of DevSecOps lies in its commitment to continuous improvement and learning. Teams that analyze security incidents and feedback are able to evolve their practices to stay ahead of emerging threats. This iterative loop empowers organizations to adapt quickly, enhancing their security posture in a landscape where cyber threats evolve at a rapid pace. 

As the digital landscape continues to evolve, the significance of DevSecOps has taken center stage, marking a pivotal turning point in the world of cybersecurity and software development. This is especially true in today’s landscape of emerging AI-enabled threat vectors. 

In the past year—2023—organizations have found themselves navigating an increasingly complex and perilous cybersecurity terrain, where the threats have become more diverse, dire, and persistent. It is in this dynamic environment that the DevSecOps approach emerged as twin pillars of resilience and adaptability. 

Regulations and Compliance

Gone are the days when security could be an afterthought—a mere hoop to jump through at the end of the development cycle. During 2023, the stakes and exposure to cyberattacks rose exponentially in which breaches Breaches led to severe financial losses, regulatory penalties, and the erosion of customer trust, thereby blurring a  traditional divide between development, security, and operations and making it no longer tenable or viable to work in a siloed mode. 

Henceforth, organizations are embracing digital transformation and cloud environments, microservices, and IoT devices, all of which introduce new attack vectors. The sheer diversity and complexity of these technologies demand a proactive security approach. DevSecOps advocates for the integration of security from the earliest stages, ensuring that vulnerabilities are identified and addressed before they can be exploited.

Failure to sufficiently protect data can subject companies to regulatory hot water. For instance, in the United States, all information related to individual health is protected under the Health Insurance Portability and Accountability Act of 1996 (HIPAA). Compliance with HIPAA regulations is dictated by the US Department of Health and Human Services and enforced by the Office for Civil Rights. Non-compliance with privacy laws such as HIPAA, CCPA legislation in California, or the GDPR (pertaining to EU subjects) is prone to penalization. 

In short, effective and dynamic security is necessary to stay on the right side of data protection laws. The DevSecOps approach becomes a catalyst for such agility. It empowers teams to respond swiftly to emerging threats, adapting their strategies in real-time. The iterative nature of DevSecOps ensures that security remains an evolving practice, aligned with the ever-changing threat landscape. 

The Future of DevSecOps

As we navigate the uncharted waters of 2023 and beyond, DevSecOps stands as a cornerstone of resilience, enabling organizations to not only weather the storms of cyber threats but also emerge stronger, more secure, and more adaptable than ever before. But how can businesses and agencies adopt a DevSecOps approach?

Enter self-protecting data solutions, such as Sertainty’s cutting-edge technology. By embedding intelligence directly into data files, self-protecting data can recognize and counter malicious activities, even in the absence of known vulnerabilities or patches. As a pioneer of this approach, Sertainty redefines how information is protected to ensure data privacy where perimeters fail. Using cutting-edge protocols and embedding intelligence directly into sensitive data files or datasets, Sertainty leverages patented processes to govern, track, and defend data through the files themselves. 

Instead of database security based on privileges to access the network directory where the file currently resides, Sertainty Self-Protecting Data technology empowers the files to defend themselves against malicious activity immediately. Sertainty UXP Technology recognizes itself through a Zero-Trust framework that contextualizes the environment, behavior, and action of the intended receiver — whether human, machine, or application. With these protocols, the data remains secure even in situations where systems have been compromised. 

Government agencies are recognizing the importance of this approach. In fact, an executive order from last year demands that all US federal agencies adopt a Zero-Trust security model to improve data security efforts. The Cybersecurity and Infrastructure Security Agency (CISA) has also been applying pressure on both the private and public sectors to increase commitment to digital security and Secure-by-Design Technology. 

Empower Your Built-In Security with Sertainty

Sertainty Technology automatically bakes in security at every phase of the software development lifecycle, enabling the development of secure software in a Waterfall or Agile construct. This enables the secure automation of processes, standardizations, protections, and contextualization of data. Moreover, Sertainty UXP Technology demonstrates homomorphic capabilities, specifying what needs to be decrypted and worked on. This is a huge operational gain, streamlining processes and touchpoints.

Through its UXP Technology, Sertainty leverages proprietary processes that enable data to govern, track, and defend itself — whether in flight, in a developer’s sandbox, or in storage. These UXP Technology protocols mean that even if systems are compromised by AI tools or accessed from the inside, all data stored in them remains secure. 

At Sertainty, we know that maintaining secure files is the most valuable asset to your organization’s continued success. Our industry-leading Data Privacy Platform has pioneered what it means for data to be intelligent and actionable, helping companies move forward with a proven and sustainable approach to their cybersecurity needs. 

As the digital landscape evolves and networks become more widely accessible, Sertainty is committed to providing self-protecting data solutions that evolve and grow to defend sensitive data. With the proliferation of human and AI threats, security breaches may be inevitable, but with Sertainty, privacy loss doesn’t have to be. 

The Future of Data Security: AI, Self-Protecting Files, and Zero-Trust

Posted on by Nicole Tidwell

In today’s digital landscape, the future of data security is at the forefront of every organization’s concerns. With the constant evolution of cyber threats and the increasing complexity of our interconnected world, traditional security measures are no longer enough to safeguard sensitive information. 

Today, we’ll delve into the changing nature of information security threats, the limitations of conventional cybersecurity methods, and how innovative solutions like self-protecting files and zero-trust network access are shaping the future of data security. Join us on this journey as we explore the path to a more secure digital future, where organizations can protect their data with confidence.

The Evolution of Data Security

From the earliest days of computer networks, information security primarily focused on building robust perimeter defenses. Firewalls, intrusion detection systems, and access control were the standard tools in the cybersecurity arsenal. However, as technology advanced, so did the strategies of cybercriminals. The rise of sophisticated cyber threats has exposed the inadequacies of traditional security models. 

Limitations of Traditional Security Measures

The limitations of traditional security measures are evident in their inability to adapt to the evolving threat landscape. These methods often rely on static rules and predefined patterns to detect anomalies, making it challenging to detect novel attack vectors. Organizations find themselves in a constant game of catch-up, struggling to defend against new, innovative cyber threats.

Most traditional cybersecurity methods lean heavily on perimeter-based security. While firewalls and intrusion detection systems create a barrier between an organization’s internal network and the outside world, this approach has its limitations. Cybercriminals often exploit vulnerabilities to infiltrate this perimeter, making perimeter-based defenses an incomplete solution. Legacy systems and password-based authentication methods have become especially easy targets for attackers, as outdated software and weak passwords can provide cybercriminals with an open door to an organization’s sensitive data.

Insider threats pose another significant challenge. Malicious or negligent employees can bypass perimeter defenses, leading to data breaches from within.

Zero-Trust: Redefining Network Security

Zero-trust network access is a fundamental shift in the way we approach network security. Unlike traditional models that trust users and devices within the network, a zero-trust approach demands rigorous proof of legitimacy.

Zero-trust emphasizes the continuous verification and authentication of all users and devices, regardless of their location. This approach ensures that trust is never assumed, and access is granted based on real-time data and context. As a result, organizations can effectively protect their networks from both external threats and insider risks.

The Evolving Regulatory Landscape

Recognizing the need for a paradigm shift in cybersecurity, the United States government has taken significant steps to enhance data security. The Cybersecurity and Infrastructure Security Agency (CISA) has introduced the “Zero-Trust Maturity Model,” a framework designed to help organizations transition to zero-trust security. This model emphasizes continuous verification and authentication, ensuring that trust is never assumed, even within the network perimeter.

Executive Order 14028, titled “Improving the Nation’s Cybersecurity,” reinforces the government’s commitment to strengthening national cybersecurity defenses. The order highlights the importance of modernizing cybersecurity defenses and underscores the significance of implementing zero-trust principles. By aligning with government initiatives, organizations can stay ahead of cyber threats and contribute to a more secure digital landscape.

The Future of Data Security

Amid the evolving threat landscape, a revolutionary concept has emerged — self-protecting files. These files are not your typical data containers. Instead, they are intelligent, dynamic entities that possess the ability to protect themselves and the data they hold. 

Self-protecting files utilize cutting-edge technology to embed security directly into the data itself. They can determine who is accessing the data, where, when, and under what circumstances. If any aspect of the access does not align with pre-defined policies, the file can instantly revoke access or take other protective actions. 

Self-Protecting Data vs. Traditional Security

The advantages of self-protecting files over traditional security methods are profound. With self-protecting files, data protection becomes intrinsic, eliminating the need for perimeter defenses to protect data at rest. They also offer enhanced privacy and control, as data owners can define precisely how their data is accessed and used. This level of granularity in data security is a game-changer for organizations across various industries.

Other Emerging Security Technologies

Another type of emerging technology leverages advanced AI-driven algorithms to proactively identify and neutralize potential threats. They excel at detecting vulnerabilities that often evade traditional security measures, making them a vital component in safeguarding sensitive data.

One common focus of these technologies is securing the “edge territory” of networks, an often-ignored critical area where cyber criminals can exploit weaknesses. By concentrating on fortifying this network segment, these emerging solutions provide an additional layer of defense that is instrumental in today’s complex digital ecosystem.

Furthermore, these technologies are increasingly integrating with other cutting-edge security solutions, such as Sertainty’s technology and its Digital IDs. This integration not only enhances their capabilities but also fosters collaboration in creating dynamic ecosystems where data is both protected and empowered.

These pioneering approaches are setting a new industry standard for data security, coupled with a data-centric orientation. In a world where data security is paramount, these collaborations exemplify the potential of combining AI-driven security technologies to provide comprehensive protection in the digital age.

While these may seem fundamentally different than zero-trust, Sertainty technology can play an integral role in these platforms as well. For example, GuardDog AI‘s AI-powered Protective Cloud Services (PCS) platform employs cutting-edge technology to constantly scan and analyze network traffic in concert with the Sertainty software developer toolkit. 

This integration brings a unique fusion of technologies. Sertainty, a global data security leader, is known for its Data Privacy Platform, which empowers data files to protect themselves using a zero-trust methodology. This approach prioritizes data-centric security, ensuring privacy and integrity even in situations where traditional security measures may fall short.

Truly Secure Data with Sertainty

The future of data security lies in innovative solutions like self-protecting files and zero-trust network access. With the changing nature of cybersecurity threats and the limitations of traditional security measures, organizations must adapt to stay secure. 

Sertainty technology bridges the gap between technologies shaping the future of data security (self-protecting files and zero-trust network access) with a software development kit that can be seamlessly integrated into a wide range of applications. As we navigate the digital future, the path to a more secure data environment becomes clear — a path paved with innovation, adaptability, and trust in the face of evolving threats. 

Explore Sertainty’s solutions and embark on this journey towards a safer digital world.

Emerging Data Security Threats to Watch in 2024

Posted on by Nicole Tidwell

In today’s digital world, data is the lifeblood of organizations. It fuels decision-making, drives innovation, and is at the heart of every successful operation. However, as we march forward into 2024, the landscape of data security is more challenging and dynamic than ever before. New data security threats, both technological and human-driven, are on the horizon, demanding heightened vigilance and innovative solutions. 

The ability to proactively recognize and mitigate these threats is key to both protecting your most vital assets and maintaining regulatory compliance. In this article, we’ll examine some of the most prominent emerging data security threats to watch in 2024 as well as how organizations can comprehensively address them. 

Top Emerging Data Security Threats in 2024

AI-Powered Cyberattacks: The Rise of Adversarial AI

Artificial intelligence (AI) is a double-edged sword. While it powers many of our conveniences, it can also be harnessed for malicious purposes. In practical terms, AI technology has given rise to two distinct data security threats.

Firstly, generative AI’s ability to create convincing, human-like personas has made social engineering threats increasingly difficult to detect. The newfound accessibility of sophisticated machine learning tools also makes it easier for hackers to set an AI program to break through firewalls by trying endless combinations of possible credentials in “brute force” style attacks. 

This is not to say that AI is all bad news for cybersecurity. New tools, such as the innovative Protective Cloud Services (PCS) platform from GuardDog AI, can scan and analyze network traffic, proactively automating incident response steps to save precious time when responding to perimeter breaches. 

The Ransomware Evolution: Double Extortion and Beyond

Ransomware is evolving, and it’s not just about encrypting your data anymore. Ransomware capabilities and tactics have undergone a significant transformation in recent times, extending beyond the conventional act of encrypting data and posing even more potent threats to organizations. 

One notable evolution in this malicious strategy is the adoption of “double extortion” tactics. Instead of merely locking data away, cybercriminals are now leveraging the stolen data as an additional weapon in their arsenal. This entails a two-pronged approach. Alongside encrypting the victim’s data, attackers also threaten to publicly expose sensitive information unless a ransom is paid. This strategic shift underscores a fundamental realization made by cybercriminals — that data is not just valuable to the targeted organizations, but can be equally valuable to the attackers themselves. 

Supply Chain Vulnerabilities: Data Risks Beyond Your Control

The global digital supply chain is intricate, and data flows through it like a circulatory system. But it’s also a point of vulnerability. Attacks on this supply chain can have catastrophic repercussions, extending far beyond the organization directly targeted. 

The interconnected nature of supply chains means that a breach in one part of the network can potentially impact the data and operations of countless partners, creating a domino effect of data risks. As supply chains become increasingly global and digitally driven, safeguarding sensitive data throughout this intricate web has become crucial.

IoT and IIoT Devices: A Growing Attack Surface

The Internet of Things (IoT) is expanding exponentially, but so are its security risks. This is true in both private applications and the Industrial Internet of Things (IIoT). These devices collect and transmit data, which, while extremely useful, also widens the network edge, increasing the number of potential entry points into your system. 

Improperly secured IoT and IIoT devices can quickly transform from convenient tools to potential entry points for cybercriminals seeking to exploit vulnerabilities. These devices frequently lack robust security measures, leaving them susceptible to a variety of threats. Whether it’s a smart thermostat in a home or a sensor controlling a vital manufacturing process in an industrial setting, the security of these devices is paramount. 

Quantum Computing: A New Frontier for Cyber Threats

Quantum computing, once a realm of science fiction, is now becoming a reality. As we inch closer to practical quantum applications, the implications for data security are profound. Current encryption methods, which rely on the computational difficulty of factoring large numbers, may crumble in the face of quantum algorithms. 

Data security has traditionally provided a layered defense against intrusions. This is largely predicated on the assumption that a sufficiently layered defense-in-depth framework can counter intrusions. However, these defenses are built on computational limitations that quantum computers are poised to obliterate. Once useable quantum computing capability reaches the hands of malicious actors, the standard security algorithms that guard much of our most sensitive data today could be effortlessly decrypted. 

Insider Threats: The Danger Within

Insider threats, whether due to malice or negligence, are a persistent concern. These dangers even emanate from people you trust — your employees, contractors, or business partners. The issue with insider threats is that they’re not easy to spot because they’re coming from within your trusted circle.

Whether it’s someone intentionally leaking sensitive data to competitors or a well-meaning employee accidentally clicking on a malicious link, the result can be disastrous. When addressing insider threats, it’s not about securing your network’s external perimeter; it’s about safeguarding your internal secrets from those you trust the most.

The New Foundation of Data Resilience

As we move into 2024, the evolving data security landscape is both promising and perilous. New technologies bring unprecedented opportunities, but they also open doors to novel threats. In this era of data-driven decision-making, one thing is clear: improving data security to match these emerging threat vectors is not a luxury, but a necessity.

In the face of these powerful new data security threats, incremental improvements to existing network perimeters are insufficient. Instead, leaders are looking toward a new paradigm of data security. 

To address these and other mounting data security threats, leaders have begun to approach data as not just something to be safeguarded by perimeters, but as a vigilant protector in its own right. This means that data takes on an active role in looking after itself. So, whether your data is sitting safely within your company’s computer systems, floating up in the cloud, or traveling to another business, it’s always watching out for threats. 

By integrating data-level security into your cyber defense strategy, you create a resilient fortress around your most valuable asset — your data. In the face of quantum computing, AI-powered attacks, evolving ransomware, complex supply chains, IoT vulnerabilities, insider threats, and regulatory mazes, data-level security remains your constant and reliable guardian. Instead of relying on outer defenses, you have an inner champion that keeps your data safe no matter where it is.

In the words of Sertainty CSO Amir Sternhell, “The Sertainty UXP Technology is setting the standards in the IIoT world by protecting and maintaining the integrity of a sensor command to overcome the acceleration in phishing, fakes, and sabotage, attributed to adversarial AI. Rest assured that this upcoming year will witness a glut of holistic Data-Chain-of-Provenance and Digital Twin implementations — premised on the Sertainty Zero-Trust design principles — to quell intrusions into our Industrial Control Systems (ICS) and ransomware attacks.” 

Staying Ahead of Data Security Threats with Sertainty

As a leader in data-level security and self-protecting data technology, Sertainty leverages proprietary processes that enable data to govern, track, and defend itself. These protocols mean that even if systems are compromised or accessed from the inside, all data stored in them remains secure. 

At Sertainty, we know that the ability to maintain secure files is the most valuable asset to your organization’s continued success. Our industry-leading Data Privacy Platform has pioneered data solutions that are intelligent and actionable, helping companies move forward with a proven and sustainable approach to their cybersecurity needs. 

As the digital landscape evolves and networks become more widely accessible, Sertainty is committed to providing self-protecting data solutions that adapt and grow to defend sensitive data. Security threats may be inevitable, but with Sertainty, privacy loss doesn’t have to be. 

Mitigating and Responding to RDP Security Threats

Posted on by Nicole Tidwell

Today, remote work has become the norm for many organizations, and the reliance on technologies like Remote Desktop Protocol (RDP) has surged. As more organizations come to use RDP, the number of security risks associated with remote access has also increased exponentially. By overlooking the dangers of remote workflows, many organizations unknowingly expose themselves to numerous cybersecurity risks. For example, RDPs can be the perfect vehicle for deploying malware or targeted ransomware campaigns.

How Does RDP Work?

Remote Desktop Protocol, commonly known as RDP, serves as the digital bridge between a user’s device and a remote computer or server. It’s the technology that allows you to access and control another computer from a distance. Think of it as a virtual connection that simulates sitting in front of the remote computer.

To make this possible, RDP relies on a few key components:

  • Client: This is your device — the one you’re using to access the remote system.
  • Host: This is the remote computer or server you want to connect to.
  • RDP Protocol: The set of rules and procedures that govern the communication between the client and the host.
  • Remote Desktop Services (RDS): The host-side software that manages incoming RDP connections.

Why Is RDP Vital for Modern Businesses?

The modern work landscape has shifted. Remote work, once considered a perk, has become a necessity for businesses worldwide. RDP plays a pivotal role in enabling remote work. It allows employees to access company resources, collaborate on projects, and troubleshoot issues on remote servers, all from the comfort of their home offices.

Scalability and Efficiency

RDP doesn’t just facilitate remote work; it makes it efficient and scalable. Businesses can scale their operations seamlessly by adding or removing remote users. This allows organizations to adapt quickly to changing business needs without costly infrastructure changes.

What Are the Security Risks of RDP?

Remote Desktop Protocol (RDP) is a versatile tool, but like any technology, it has its vulnerabilities. Cybercriminals are highly skilled at identifying and exploiting these weaknesses. Below, we’ll delve into some of the most prevalent security threats associated with RDP:

Brute Force Attacks

Brute force attacks are akin to a digital guessing game. Attackers methodically try numerous combinations of usernames and passwords until they stumble upon the correct one. Essentially, it’s a trial-and-error approach that relies on the probability that, eventually, they will guess the right credentials. While this methodology may sound inefficient, quantum-enabled tools have drastically increased the potential effectiveness of brute-force attacks. 

Social Engineering and Credential Theft

Cybercriminals employ various methods to pilfer login credentials. These include (but are by no means limited to): 

  • Phishing Attacks: Attackers send deceptive emails or messages designed to trick recipients into revealing their login information.
  • Keyloggers: Malicious software silently records keystrokes, capturing usernames and passwords as users type them.
  • Credential Harvesting from Past Data Breaches: If a user’s credentials are compromised in a separate data breach, cybercriminals may employ these stolen credentials to gain unauthorized access to RDP services.

Software Vulnerabilities

Like any software, RDP software can have vulnerabilities. These vulnerabilities may exist in the form of bugs, errors, or overlooked security gaps. Cybercriminals often target unpatched or outdated RDP software, as it may harbor known vulnerabilities that hackers can exploit to gain unauthorized access.

Case Study: The SamSam Ransomware Campaigns

RDP security threats aren’t just theoretical risks; they have real-world consequences. Take the SamSam ransomware attacks, for instance. While the initial incidents of this attack predate the remote work surge COVID-19 era, they vividly illustrate the tangible impact of RDP vulnerabilities, emphasizing the urgency of securing RDP access. 

The SamSam attacks focused on infecting internal networks to extract ransom payments from organizations that could not afford the time or risk it would take to recover their files without paying. Later analysis of the affected networks indicated that, among other means of gaining access, attackers had purchased stolen RDP credentials, which they used to grant themselves administrative access and plant the ransomware executable file. 

This malicious campaign resulted in significant financial losses, operational disruptions, and reputational damage to affected organizations. 

Responding to RDP Security Risks 

There are a number of standard methods used to reduce potential RDP vulnerabilities. First, using strong and unique passwords is essential to thwart potential attackers. Account lockout policies should also be implemented to counter brute force attacks, preventing unauthorized access attempts.

Keeping RDP software and systems up to date is equally vital, as it helps address known vulnerabilities. Furthermore, network segmentation can be employed to isolate RDP services from critical systems, effectively reducing the attack surface. 

Additionally, implementing multi-factor authentication (MFA) serves as a significant security enhancement. MFA requires users to provide multiple forms of identification before granting access, ensuring that even if an attacker possesses the password, they cannot access the system without the additional authentication factor.

The Role of Zero-Trust and Self-Protecting-Data

While the above methods are helpful, they fail to address the most fundamental weaknesses of network access tools like RDP. Traditionally, organizational data has been hidden behind firewalls and is left vulnerable to those already inside the system. However, Sertainty has redefined how information is protected to ensure data privacy even where firewalls and other security measures fail. 

Unlike conventional cybersecurity methods, zero-trust network access does not depend on networks and devices remaining secure. Rather than relying on security perimeters with the assumption that users within a system have the right to access its information, zero-trust security demands continuous verification. Meanwhile, Self-Protecting-Data capabilities enable files to protect themselves when faced with unauthorized access or even unauthorized actions from legitimate users.

These protocols support conventional perimeter security measures, turning firewalls into the first layer of defense rather than the sole source of protection for your files. This means that, in addition to enhancing your network access security, Self-Protecting-Data also prevents insiders from creating chaos.

Sertainty Data Security

Sertainty leverages proprietary processes through its UXP Technology that enable data to govern, track, and defend itself — whether in flight, in a developer’s sandbox, or in storage. These UXP Technology protocols mean that even if systems are compromised by AI tools or accessed from the inside, all data stored in them remains secure. 

At Sertainty, we know that the ability to maintain secure files is the most valuable asset to your organization’s continued success. Our industry-leading Data Privacy Platform has pioneered what it means for data to be intelligent and actionable, helping companies move forward with a proven and sustainable approach to their cybersecurity needs. 

As the digital landscape evolves and networks become more widely accessible, Sertainty is committed to providing self-protecting data solutions that evolve and grow to defend sensitive data. With the proliferation of vulnerable remote systems, security breaches may be inevitable, but with Sertainty, privacy loss doesn’t have to be.

Defense-In-Depth: The Future of Data Security

Posted on by Nicole Tidwell

In a digital world brimming with cyber threats, adopting a “defense-in-depth” approach is a vital weapon in your arsenal against potential breaches and vulnerabilities. Rather than fixing security issues after the fact, defense-in-depth focuses on crafting technology with multiple layers of security included at each stage of development and implementation. This proactive approach has become imperative in the cybersecurity landscape, reshaping how we build and fortify our digital systems.

In this ever-evolving landscape, traditional perimeter-based security models often falter. Hackers exploit vulnerabilities, slipping through the gaps of systems designed to trust too much. While the idea of addressing security threats at the development level is not fundamentally new, the measures coded into many programs are themselves imperfect, leading to a false sense of security from users and developers alike. 

This is not to say that defense-in-depth has to be predicated on more layers of the same flawed technologies. On the contrary, reimagining this framework has led to revolutions within the cybersecurity world. 

Understanding the Value of the Defense-In-Depth Approach

At its heart, defense-in-depth embodies a philosophy where security is not an afterthought, but rather an integral part of the creation process. The core principles revolve around integrating security measures right from the inception of a technological solution. By baking security into every layer, from design to deployment, we create a robust and fortified environment to withstand potential threats.

Secure-by-Design Technology

Often, the far-reaching benefits of a combined defense-in-depth approach and DevSecOps lead to technology referred to as “secure by design.” As the name suggests, utilizing this approach entails considering security from the outset, minimizing vulnerabilities, and reducing the attack surface that malicious actors can exploit. This, in turn, leads to more resilient systems, enhancing the overall cybersecurity posture of organizations. Trustworthiness and reliability become hallmarks of the technology, inspiring user confidence.

Secure IoT Devices and Smart Systems

Secure-by-design technology does not have to refer exclusively to data storage solutions, either. This thinking can be applied to a wider variety of technologies, such as IoT devices and smart systems. While the potential vulnerabilities present in these systems are often overlooked, a true defense-in-depth approach accounts for all threat vectors, including seemingly innocuous peripheral technologies. 

Elements of a Defense-In-Depth Approach

Integrating security throughout the development lifecycle means that every step is taken with potential threats in mind. Secure coding practices ensure that vulnerabilities are not inadvertently introduced during the coding process. 

DevSecOps

In order to fully embrace a defense-in-depth system, security must be part of any discussion from the earliest stages of development. DevSecOps merges development, security, and operations into a unified approach. It emphasizes continuous security testing and collaboration throughout the software development lifecycle. DevSecOps is all about identifying vulnerabilities early and addressing them in real time, ensuring that security is not compromised while speeding up development.

Other Elements of Defense-In-Depth Security

As the development and implementation of security protocols progress, new layers are added at each step. For example, threat modeling identifies risks and guides decisions, while continuous security testing identifies and addresses weaknesses before they’re exploited.

Other elements commonly incorporated into a secure-by-design model include conventional perimeter security protocols and encryption safeguards. Perimeter security in a defense-in-depth system often entails more than simple passwords. More comprehensive verification methods can include a combination of elements, such as security questions, physical security keys, and biometrics. 

On the transit side, encryption safeguards sensitive data, both at rest and in transit, rendering it useless even if intercepted. Some seemingly secure transmission methods are erroneously considered to be an acceptable form of data security, but in reality, technologies like blockchain bring their own set of potential pitfalls — and should not be solely relied upon in place of a thorough defense-in-depth approach.

The Future of Secure-by-Design Technology

While all of the above elements are crucial aspects of defense-in-depth, each step still leaves gaps that can be exploited by knowledgeable, committed hackers. This is where zero-trust data security and self-protecting data solutions come into the picture. Rather than simply adding another layer of security, Sertainty self-protecting data technology introduces an entirely new type of data protection to a defense-in-depth framework. These technologies redefine data security, focusing on safeguarding data itself and ensuring its integrity in the face of ever-evolving threats. 

Unlike conventional security measures, zero-trust access protocols and data-level security solutions ensure that data remains protected from all sources, regardless of how files are accessed. This approach reshapes the data security landscape, ensuring that sensitive information remains under an impenetrable cloak, safeguarded against breaches and unauthorized access.

The essence of Sertainty’s zero-trust data security technology lies in its proactive stance. It does not merely shield the perimeter; it safeguards the very data at the core of your digital ecosystem. This technology empowers data with the ability to defend itself, rendering it useless if intercepted or tampered with. Whether data is at rest, in transit, or being processed, Sertainty UXP lets developers give data its own security, regardless of the environment.

This technology brings a paradigm shift in how we view data breaches. Rather than relying only on barriers to keep threats out, Sertainty UXP’s zero-trust data security technology empowers data files to monitor and protect themselves. Even if an attacker gains access, the protected data becomes an enigma, rendering their efforts fruitless. This also means that insider attacks, which are virtually impossible to mitigate, are a non-factor. 

Embrace Truly Secure-by-Design Technology Solutions with Sertainty

As a leader in self-protecting data, Sertainty leverages proprietary processes to ensure that even if systems are compromised or accessed from the inside, all data stored in them remains secure. 

At Sertainty, we know that the ability to maintain secure files is the most valuable asset to your organization’s continued success. Our industry-leading Data Privacy Platform has pioneered what it means for data to be intelligent and actionable, helping companies move forward with a proven and sustainable approach to their cybersecurity needs. 

In an era where cyber threats continue to morph and infiltrate, Sertainty zero-trust data security technology shines as a sentinel of data integrity. As we gaze into the horizon of secure-by-design technology, Sertainty is committed to providing self-protecting data solutions that evolve and grow to defend sensitive data. Cyber threats may continue to advance, and security perimeter breaches may be inevitable, but with Sertainty, privacy loss doesn’t have to be.

The Quantum Leap: Why Data-Level Security Is the Vanguard Against the Next Wave of Cybersecurity Threats

Posted on by Nicole Tidwell

In the ever-evolving theater of cybersecurity, the proliferation of quantum computing presents a formidable challenge to our current defense-in-depth strategies. While conventional data security has traditionally provided a layered defense against intrusions, it is largely predicated on the computational limitations that quantum computers are expected to obliterate. The stark reality is that the standard security algorithms that guard much of our most sensitive data, today, could be effortlessly decrypted, tomorrow, using quantum machines. 

The solution to this looming tidal wave is not in fortifying the walls of our sandcastles, but in looking toward a new paradigm enshrining data security. Henceforth, despite the still-nascent nature of these risks, the technology required to address quantum security threats actually exist. True, whilst industry giants like Microsoft are only beginning to discuss the nature of these threats, the military, enterprises and leaders in cybersecurity are looking toward a data-level security approach such as exemplified by the Sertainty Self-Protecting Data technology. The novelty behind Self-protecting data encryption is that it allows each data file to become a cryptographically micro-perimeter and secure object that can defend itself, irrespective of the system it resides in. 

This type of self-protecting data that can resist quantum threats was recently discussed by my colleague Dr. Behzad Nadji in his whitepaper, “Quantum Computer Threats Against PKI Data Security and a Digital-ID Based Self-Protecting-Data Solution.” 

The similarity between quantum-enabled security threats and the recent surge in AI-enabled cybersecurity breaches perfectly illustrates how self-protecting data has the potential to address quantum threats. Like quantum encryption-breaking, machine learning algorithms can be commanded to simulate a“brute force” attack in which the sheer computational might foreseen in a quantum computer will break traditional cryptographic defenses in concert with AI algorithms that will identify the vulnerabilities that apply Shor’s Law. 

Likewise, generative AI’s rapidly growing capability to produce social engineering attacks — creating more sophisticated phishing attempts that can fool the most vigilant — is a precursor to the scale of disruption quantum computing will bring on the classical computing paradigm premised on Moore’s law. 

A data-level security approach addresses today’s Quantum Encryption and AI challenges by embedding a symmetrical – lattice-like protection scheme within the data itself. This implies that even if a quantum computer could process intercepted data, or an AI  fakes legitimate access of a user, the data will remain secure. The reason is that the Sertainty Self-Protecting Data mechanism requires authentication at the data layer, which is a significant departure from perimeter-based security models.

Thus, the data becomes its own sentinel, capable of making decisions about who can access it, when, and under what circumstances. This is akin to a biometric system that not only knows who you are but also understands the context of your request. If the context is inappropriate — say, during an AI-driven brute force attack or a quantum-decryption attempt — the data remains locked.

As we stand on the precipice of a quantum future, it is clear that a paradigm shift in our approach to cybersecurity is not just warranted but essential. The Sertainty approach to data-level security provides an archetype for the quantum age, ensuring that data can stand resilient against the foreseen formidable capabilities of quantum computers and AI-driven cyber threats. We must transition from defense-in-depth to data-in-depth, focusing on making the data itself an active participant in its defense. This is not merely a strategic choice; it is the cornerstone upon which the future of digital security must and will be built. 

About Amir Sernhell

Amir Sternhell, Chief Strategy Officer of Sertainty Corporation, has thirty years of experience in the Global IT and Corporate Learning Industries. Amir spearheads the strategic direction to set “Self-Protecting-Data” as a new global standard in the data protection space. He oversees Sertainty’s strategic thrusts and partnerships into Enterprises, Critical Infrastructure, and Defense.  

He has held senior positions whilst working for a leading IT company – close to two decades – that represented Harvard Business Publishing in the Latin American markets for fifteen years, whereby he became a Chief Learning Officer as well as a pioneer in the Corporate Learning world and was the first to deploy over fifty blended programs on Leadership, Innovation, and Creativity utilizing content from Harvard Business Publishing as means to generate ‘Leadership at every Level’. He was awarded the Most Valuable Distributor Award three times. 

Amir founded the first non-profit organization that assisted Israel’s burgeoning incubator system, later becoming the Vice Chairman of the American-Israel Chamber of Commerce and Industry, overseeing its High-Tech initiatives for two decades. Amir currently sits on multiple Advisory Boards and continues to help execute groundbreaking initiatives in the Tech Industry. He is a Keynote and Panelist at major industry and cybersecurity events. 

Beyond Defense-in-Depth: Why It’s Time to Embrace Data-Level Security

Posted on by Nicole Tidwell

As we enter a new age of cybersecurity threats, our defense practices need more than a simple tactical change — we need a strategic evolution that promises to streamline cybersecurity, reduce costs, and enhance protection. That’s why shifting from a reactive, perimeter-focused defense-in-depth strategy to a more proactive, data-centric security approach is becoming a matter of necessity. 

Defense-in-depth has been the bedrock of our cybersecurity strategy for decades, providing a sophisticated, layered approach to security. However, this model is fundamentally reactive, and as time has progressed, it has become increasingly complex and siloed. Because the defense-in-depth model operates on the premise that breaches will occur at the outer layers, it demands multiple fallbacks. While each layer has its role, the complexity and isolation of these systems can create gaps that savvy attackers exploit — including both malicious and inadvertent risks from insiders, who represent an increasing threat vector today. 

However, if data itself is our central focus, it becomes both the perimeter and the endpoint, behaving as an active participant in its own defense. When adopting this model, security measures are embedded within the data itself, ensuring that it remains protected regardless of its location — whether within the corporate network, in the cloud, or in transit to a partner site. 

Envisioning data as the new perimeter means recognizing that data traverses beyond the traditional bounds of enterprise control. It makes its presence known in the cloud, across devices, and through various networks. By embedding security controls directly within the data, we create a dynamic, mobile perimeter that offers protection wherever the data resides or travels. This approach ensures continuous protection and addresses the critical pain points of the private sector, where agility and responsiveness to threats are paramount. 

Simultaneously, viewing data as the new endpoint emphasizes the need for protection at the point of use. Whether it’s personal information or intellectual property, the data endpoint is where the value — and the vulnerability — lies. By encrypting data, we ensure that even if it falls into the wrong hands, its confidentiality and integrity remain intact. 

Acknowledging this, it’s time to recognize the role of data-level security in the coming age. This data-centric methodology offers a more streamlined and efficient security process, significantly reducing the need for extensive security teams and layers of protection. This approach also translates to a direct impact on organizations’ bottom lines — not only saving on costs but also on personnel and complexity, as well as eliminating the data silos that a conventional defense-in-depth approach inadvertently creates. These benefits are especially vital when the current cybersecurity landscape is marked by drastic increases in security spending and a shortage of qualified personnel. 

As the world shifts toward adopting a data-as-a-product (DaaP) approach to information, securing this product is paramount. This perspective is not limited to data-centric businesses but is a universal value across all sectors. A data-centric security approach is not just about defense but also about empowerment. This transformation anticipates and preempts emerging threats, such as those enabled by machine learning, and, in the near future, quantum computing, constructing a more intelligent, data-first line of defense. 

The transition to a data-level security approach represents a strategic reorientation that can simplify, secure, and streamline corporate cybersecurity. It’s a shift that addresses the current landscape of threats and the evolving regulatory environment, recognizing data as the invaluable asset that it is. It’s time for cybersecurity leaders to align themselves with this shift, to not only defend but to empower data to protect itself and, by extension, the enterprises that depend on it. 

About the Author

Jeff Snyder is a senior Sertainty Advisory Board member and cybersecurity expert, boasting over twenty years of experience. His career is marked by significant Cyber contributions to both federal agencies and the private sector. He has been instrumental in the strategic acquisition and growth of over 20 companies in the cybersecurity industry. 

Additionally, Jeff is a sought-after speaker regarding a spectrum of pressing topics, from the

Understanding and Responding to Different Types of Social Engineering Threats

Posted on by Nicole Tidwell

Social engineering is a deceptive and manipulative tactic used by cybercriminals to exploit human psychology and gain unauthorized access to sensitive information. In the current digital age, where personal and financial data is at risk, it is crucial to be aware of various social engineering threats and take steps to protect ourselves. 

Today, we’ll take an in-depth look at social engineering, explore some common types of social engineering attacks, and discuss solutions to protect your data from imposters. 

What Is Social Engineering?

At its core, social engineering is an art of deception. Instead of exploiting vulnerabilities in computer systems, social engineers manipulate individuals into divulging confidential information or performing actions that benefit the attacker. By preying on human psychology and trust, they gain access to personal, financial, or sensitive data. 

These types of threats can be particularly difficult to mitigate using traditional security systems because there is no “hole in the code” that can be patched to solve the issue. That’s not to say that there is no solution to social engineering attacks; rather, addressing them in a truly secure way requires a more holistic approach than simply increasing perimeter security. 

While they can vary greatly in tactics, most types of social engineering attacks have common goals. These typically involve gaining access to your systems in order to steal or tamper with valuable information, commit financial fraud, or compromise the security of individuals or organizations. 

Types of Social Engineering Threats

Before we discuss how to keep your data safe, it’s important to understand some of the types of social engineering attacks your data may face. While there is no end to the potential number of ways in which scammers can attempt to gain your confidence, the following are a few of the most common examples you may encounter. 

Phishing

Phishing is one of the most prevalent types of social engineering attacks. These attacks involve impersonating a trustworthy entity, such as a bank or a popular online service, to trick individuals into revealing sensitive information like usernames, passwords, or credit card details. Phishing attacks are typically carried out through emails, text messages, or fake websites designed to resemble legitimate ones.

Common phishing techniques include sending deceptive emails that mimic reputable organizations, creating fake login pages to steal login credentials, and using urgent or alarming language to prompt immediate action without stopping to assess the source of the message more thoroughly. 

Pretexting

Fundamentally similar to phishing, pretexting involves creating a false scenario to deceive individuals into sharing confidential information. The attacker creates a pretext to gain the target’s trust, often assuming a false identity to sell the narrative. They may pose as a co-worker, customer support representative, or contractor to manipulate victims into revealing sensitive data or performing actions that compromise security. 

Pretexting attacks often involve the scammer doing research and playing a slightly longer game to help them establish credibility. This allows them to leverage personal or emotional connections, and create a genuine sense of urgency. 

Baiting

Baiting attacks lure people into taking specific actions with an enticing or appealing offer. Unlike the previous two types of social engineering attacks, which primarily prey on fear, baiting exploits people’s natural curiosity or greed to trick individuals into compromising their security. 

Different forms of baiting attacks include leaving infected USB drives labeled as important files, offering free downloads of pirated software that contains malware, or enticing users with the promise of prizes or rewards in exchange for sensitive information. While this may seem somewhat far-fetched, research has shown that hardware-based baiting scams can be a particularly effective social engineering threat vector. 

Tailgating

Tailgating is an even more physical type of social engineering attack. Also known as piggybacking, these attacks involve an attacker gaining access to secure servers by physically following an authorized person through secured access points. This type of attack exploits the natural human tendency to hold the door open for others or be polite, allowing the attacker to gain unauthorized entry.

Tailgating attacks can occur in various settings, such as office buildings, data centers, or restricted areas. By blending in or exploiting moments of distraction, the attacker bypasses security measures and gains access to sensitive locations or systems.

Impersonation

A more in-depth alternative to tailgating is impersonation, where attackers assume the identity of legitimately authorized parties to gain access to your databases. Attackers may pose as employees, customers, and service providers in order to be let into places where they can then hack into your databases more easily.

Methods employed by impersonators can include using fake email addresses or phone numbers, manipulating caller IDs, or creating realistic social media profiles to establish credibility. 

Quid Pro Quo

Perhaps the most direct form of social engineering attacks, quid pro quo exploits involve an exchange of something valuable in return for sensitive information or access. Rather than tricking targets into unwittingly granting them access, attackers promise a benefit or favor in exchange for personal or confidential data. This type of social engineering attack often targets employees within organizations. 

Examples of quid pro quo schemes can include a scammer posing as an IT support technician offering free technical assistance in exchange for login credentials or an attacker promising a substantial discount or exclusive access to a service in return for sensitive financial information. 

Protecting Against Different Types of Social Engineering Threats

As we mentioned above, addressing social engineering threats requires a fundamentally different approach than other areas of cyber security. Increasing the strength of passwords or introducing measures to prevent software-based attacks such as cache poisoning is completely ineffective when hackers gain access to your databases using legitimate credentials. 

Contrary to popular belief, protecting your data from social engineering attacks also requires more than training. While employee training is a common step used to counter all types of social engineering scams, the human component often remains the weakest link in your security system. To this point, a 2022 study of different types of social engineering attacks concluded that “providing awareness against SE-based cyberattacks is not sufficient.” 

Zero Trust Data Security

The true key to solving all types of social engineering attacks is rethinking our entire approach to cybersecurity. Traditionally, the focus of digital privacy systems has been to keep outsiders from accessing the private networks and stores where data is hosted. While there will always be a place for maintaining this security perimeter, relying on this alone leaves all data within vulnerable to anyone who has already gained access to the servers or data files. 

This is where a Zero Trust framework for self-protecting data can be of the most use. Rather than simply trying to improve on perimeter measures, self-protecting data reimagines the entire approach to security. 

As the name implies, the goal of self-protecting data is not just to keep hackers out of your system but to create truly secure files. Instead of being left accessible to any “trusted” users, self-protecting files themselves are coded with the ability to recognize malicious activity and counter it immediately, regardless of who appears to be performing the action. 

Empower Your Data with Sertainty

Sertainty leverages proprietary and patent processes through its Data Privacy Platform and core technology that enable data to govern, track, and defend itself — whether in flight, in a developer’s sandbox, or in storage. These technology protocols mean that even if systems are compromised by AI tools or accessed from the inside, all data stored in them remains secure. 

At Sertainty, we know that the ability to maintain secure files is the most valuable asset to your organization’s continued success. Our industry-leading Data Privacy Platform has pioneered what it means for data to be intelligent and actionable, helping companies move forward with a proven and sustainable approach to their cybersecurity needs. 

As the digital landscape evolves and networks become more widely accessible, Sertainty is committed to providing self-protecting data solutions that evolve and grow to defend sensitive data. With the proliferation of human and AI threats, security breaches may be inevitable, but with Sertainty, privacy loss doesn’t have to be.