For certain high-security devices, such as card readers, ATMs, and hardware security modules, normal physical security isn’t enough – they need to wipe out their sensitive data if someone starts drilling through the case. Such devices, therefore, often integrate circuit meshes into their cases and regularly monitor them for changes that could indicate damage. To improve the sensitivity and accuracy of such countermeasures, [Jan Sebastian Götte] and [Björn Scheuermann] recently designed a time-domain reflectometer to monitor meshes (pre-print paper).

Many meshes are made from flexible circuit boards with winding traces built into the case, so cutting or drilling into the case breaks a trace. The problem is that most common ways to detect broken traces, such as by resistance or capacitance measurements, aren’t easy to implement with both high sensitivity and low error rates. Instead, this system uses time-domain reflectometry: it sends a sharp pulse into the mesh, then times the returning echoes to create a mesh fingerprint. When the circuit is damaged, it creates an additional echo, which is detected by classifier software. If enough subsequent measurements find a significant fingerprint change, it triggers a data wipe.

The most novel aspect of this design is its affordability. An STM32G4-series microcontroller manages the timing, pulse generation, and measurement, thanks to its two fast ADCs and a high-resolution timer with sub-200 picosecond resolution. For a pulse-shaping amplifier, [Jan] and [Björn] used the high-speed amplifiers in an HDMI redriver chip, which would normally compensate for cable and connector losses. Despite its inexpensive design, the circuit was sensitive enough to detect when oscilloscope probes contacted the trace, pick up temperature changes, and even discern the tiny variations between different copies of the same mesh.

It’s not absolutely impossible for an attacker to bypass this system, nor was it intended to be, but overcoming it would take a great deal of skill and some custom equipment, such as a non-conductive drill bit. If you’re interested in seeing such a system in the real world, check out this teardown of a payment terminal. One of the same authors also previously wrote a KiCad plugin to generate anti-tamper meshes.

Thanks to [mark999] for the tip!

As the Defense Department moves to meet its 2027 deadline for completing a zero trust strategy, it’s critical that the military can ingest data from disparate sources while also being able to observe and secure systems that span all layers of data operations.

Gone are the days of secure moats. Interconnected cloud, edge, hybrid and services-based architectures have created new levels of complexity — and more avenues for bad actors to introduce threats.

The ultimate vision of zero trust can’t be accomplished through one-off integrations between systems or layers. For critical cybersecurity operations to succeed, zero trust must be based on fast, well-informed risk scoring and decision making that consider a myriad of indicators that are continually flowing from all pillars.

Short of rewriting every application, protocol and API schema to support new zero trust communication specifications, agencies must look to the one commonality across the pillars: They all produce data in the form of logs, metrics, traces and alerts. When brought together into an actionable speed layer, the data flowing from and between each pillar can become the basis for making better-informed zero trust decisions.

The data challenge

According to the DoD, achieving its zero trust strategy results in several benefits, including “the ability of a user to access required data from anywhere, from any authorized and authenticated user and device, fully secured.”

Every day, defense agencies are generating enormous quantities of data. Things get even more tricky when the data is spread across cloud platforms, on-prem systems, or specialized environments like satellites and emergency response centers.

It’s hard to find information, let alone use it efficiently. And with different teams working with many different apps and data formats, the interoperability challenge increases. The mountain of data is growing. While it’s impossible to calculate the amount of data the DoD generates per day, a single Air Force unmanned aerial vehicle can generate up to 70 terabytes of data within a span of 14 hours, according to a Deloitte report. That’s about seven times more data output than the Hubble Space Telescope generates over an entire year.

Access to that information is bottlenecking.

Data mesh is the foundation for modern DoD zero trust strategies

Data mesh offers an alternative answer to organizing data effectively. Put simply, a data mesh overcomes silos, providing a unified and distributed layer that simplifies and standardizes data operations. Data collected from across the entire network can be retrieved and analyzed at any or all points of the ecosystem — so long as the user has permission to access it.

Instead of relying on a central IT team to manage all data, data ownership is distributed across government agencies and departments. The Cybersecurity and Infrastructure Security Agency uses a data mesh approach to gain visibility into security data from hundreds of federal agencies, while allowing each agency to retain control of its data.

Data mesh is a natural fit for government and defense sectors, where vast, distributed datasets have to be securely accessed and analyzed in real time.

Utilizing a scalable, flexible data platform for zero trust networking decisions

One of the biggest hurdles with current approaches to zero trust is that most zero trust implementations attempt to glue together existing systems through point-to-point integrations. While it might seem like the most straightforward way to step into the zero trust world, those direct connections can quickly become bottlenecks and even single points of failure.

Each system speaks its own language for querying, security and data format; the systems were also likely not designed to support the additional scale and loads that a zero trust security architecture brings. Collecting all data into a common platform where it can be correlated and analyzed together, using the same operations, is a key solution to this challenge.

When implementing a platform that fits these needs, agencies should look for a few capabilities, including the ability to monitor and analyze all of the infrastructure, applications and networks involved.

In addition, agencies must have the ability to ingest all events, alerts, logs, metrics, traces, hosts, devices and network data into a common search platform that includes built-in solutions for observability and security on the same data without needing to duplicate it to support multiple use cases.

This latter capability allows the monitoring of performance and security not only for the pillar systems and data, but also for the infrastructure and applications performing zero trust operations.

The zero trust security paradigm is necessary; we can no longer rely on simplistic, perimeter-based security. But the requirements demanded by the zero trust principles are too complex to accomplish with point-to-point integrations between systems or layers.

Zero trust requires integration across all pillars at the data level –– in short, the government needs a data mesh platform to orchestrate these implementations. By following the guidance outlined above, organizations will not just meet requirements, but truly get the most out of zero trust.

Chris Townsend is global vice president of public sector at Elastic.

The post A data mesh approach: Helping DoD meet 2027 zero trust needs first appeared on Federal News Network.

© AP Illustration/Peter Hamlin)

With over two decades of experience in the cyber security industry, I specialize in advising organizations on how to optimize their financial investments through the design of effective and cost-efficient cyber security strategies. Since the year 2000, I’ve had the privilege of collaborating with various channels and enterprises across the Latin American region, serving in multiple roles ranging from Support Engineer to Country Manager. This extensive background has afforded me a unique perspective on the evolving threat landscape and the shifting needs of businesses in the digital world.

The dynamism of technological advancements has transformed cyber security demands, necessitating more proactive approaches to anticipate and prevent threats before they can impact an organization. Understanding this ever-changing landscape is crucial for adapting to emerging security challenges.

In my current role as the Channel Engineering Manager for LATAM at Check Point, I also serve as part of the Cybersecurity Evangelist team under the office of our CTO. I am focused on merging technical skills with strategic decision-making, encouraging organizations to concentrate on growing their business while we ensure security.

The Cyber Security Mesh framework can safeguard businesses from unwieldy and next-generation cyber threats. In this interview, Check Point Security Engineering Manager Angel Salazar Velasquez discusses exactly how that works. Get incredible insights that you didn’t even realize that you were missing. Read through this power-house interview and add another dimension to your organization’s security strategy!

Would you like to provide an overview of the Cyber Security Mesh framework and its significance?

The Cyber Security Mesh framework represents a revolutionary approach to addressing cyber security challenges in increasingly complex and decentralized network environments. Unlike traditional security models that focus on establishing a fixed ‘perimeter’ around an organization’s resources, the Mesh framework places security controls closer to the data, devices, and users requiring protection. This allows for greater flexibility and customization, more effectively adapting to specific security and risk management needs.

For CISOs, adopting the Cyber Security Mesh framework means a substantial improvement in risk management capabilities. It enables more precise allocation of security resources and offers a level of resilience that is difficult to achieve with more traditional approaches. In summary, the Mesh framework provides an agile and scalable structure for addressing emerging threats and adapting to rapid changes in the business and technology environment.

How does the Cyber Security Mesh framework differ from traditional cyber security approaches?

Traditionally, organizations have adopted multiple security solutions from various providers in the hope of building comprehensive defense. The result, however, is a highly fragmented security environment that can lead to a lack of visibility and complex risk management. For CISOs, this situation presents a massive challenge because emerging threats often exploit the gaps between these disparate solutions.

The Cyber Security Mesh framework directly addresses this issue. It is an architecture that allows for better interoperability and visibility by orchestrating different security solutions into a single framework. This not only improves the effectiveness in mitigating threats but also enables more coherent, data-driven risk management. For CISOs, this represents a radical shift, allowing for a more proactive and adaptive approach to cyber security strategy.

Could you talk about the key principles that underly Cyber Security Mesh frameworks and architecture?

Understanding the underlying principles of Cyber Security Mesh is crucial for evaluating its impact on risk management. First, we have the principle of ‘Controlled Decentralization,’ which allows organizations to maintain control over their security policies while distributing implementation and enforcement across multiple security nodes. This facilitates agility without compromising security integrity.

Secondly, there’s the concept of ‘Unified Visibility.’ In an environment where each security solution provides its own set of data and alerts, unifying this information into a single coherent ‘truth’ is invaluable. The Mesh framework allows for this consolidation, ensuring that risk-related decision-making is based on complete and contextual information. These principles, among others, combine to provide a security posture that is much more resilient and adaptable to the changing needs of the threat landscape.

How does the Cyber Security Mesh framework align with or complement Zero Trust?

The convergence of Cyber Security Mesh and the Zero Trust model is a synergy worth exploring. Zero Trust is based on the principle of ‘never trust, always verify,’ meaning that no user or device is granted default access to the network, regardless of its location. Cyber Security Mesh complements this by decentralizing security controls. Instead of having a monolithic security perimeter, controls are applied closer to the resource or user, allowing for more granular and adaptive policies.

This combination enables a much more dynamic approach to mitigating risks. Imagine a scenario where a device is deemed compromised. In an environment that employs both Mesh and Zero Trust, this device would lose its access not only at a global network level but also to specific resources, thereby minimizing the impact of a potential security incident. These additional layers of control and visibility strengthen the organization’s overall security posture, enabling more informed and proactive risk management.

How does the Cyber Security Mesh framework address the need for seamless integration across diverse technologies and platforms?

The Cyber Security Mesh framework is especially relevant today, as it addresses a critical need for seamless integration across various technologies and platforms. In doing so, it achieves Comprehensive security coverage, covering all potential attack vectors, from endpoints to the cloud. This approach also aims for Consolidation, as it integrates multiple security solutions into a single operational framework, simplifying management and improving operational efficiency.

Furthermore, the mesh architecture promotes Collaboration among different security solutions and products. This enables a quick and effective response to any threat, facilitated by real-time threat intelligence that can be rapidly shared among multiple systems. At the end of the day, it’s about optimizing security investment while facing key business challenges, such as breach prevention and secure digital transformation.

Can you discuss the role of AI and Machine Learning within the Cyber Security Mesh framework/architecture?

Artificial Intelligence (AI) and Machine Learning play a crucial role in the Cyber Security Mesh ecosystem. These technologies enable more effective and adaptive monitoring, while providing rapid responses to emerging threats. By leveraging AI, more effective prevention can be achieved, elevating the framework’s capabilities to detect and counter vulnerabilities in real-time.

From an operational standpoint, AI and machine learning add a level of automation that not only improves efficiency but also minimizes the need for manual intervention in routine security tasks. In an environment where risks are constantly evolving, this agility and ability to quickly adapt to new threats are invaluable. These technologies enable coordinated and swift action, enhancing the effectiveness of the Cyber Security Mesh.

What are some of the challenges or difficulties that organizations may see when trying to implement Mesh?

The implementation of a Cyber Security Mesh framework is not without challenges. One of the most notable obstacles is the inherent complexity of this mesh architecture, which can hinder effective security management. Another significant challenge is the technological and knowledge gap that often arises in fragmented security environments. Added to these is the operational cost of integrating and maintaining multiple security solutions in an increasingly diverse and dynamic ecosystem.

However, many of these challenges can be mitigated if robust technology offering centralized management is in place. This approach reduces complexity and closes the gaps, allowing for more efficient and automated operation. Additionally, a centralized system can offer continuous learning as it integrates intelligence from various points into a single platform. In summary, centralized security management and intelligence can be the answer to many of the challenges that CISOs face when implementing the Cyber Security Mesh.

How does the Cyber Security Mesh Framework/Architecture impact the role of traditional security measures, like firewalls and IPS?

Cyber Security Mesh has a significant impact on traditional security measures like firewalls and IPS. In the traditional paradigm, these technologies act as gatekeepers at the entry and exit points of the network. However, with the mesh approach, security is distributed and more closely aligned with the fluid nature of today’s digital environment, where perimeters have ceased to be fixed.

Far from making them obsolete, the Cyber Security Mesh framework allows firewalls and IPS to transform and become more effective. They become components of a broader and more dynamic security strategy, where their intelligence and capabilities are enhanced within the context of a more flexible architecture. This translates into improved visibility, responsiveness, and adaptability to new types of threats. In other words, traditional security measures are not eliminated, but integrated and optimized in a more versatile and robust security ecosystem.

Can you describe real-world examples that show the use/success of the Cyber Security Mesh Architecture?

Absolutely! In a company that had adopted a Cyber Security Mesh architecture, a sophisticated multi-vector attack was detected targeting its employees through various channels: corporate email, Teams, and WhatsApp. The attack included a malicious file that exploited a zero-day vulnerability. The first line of defense, ‘Harmony Email and Collaboration,’ intercepted the file in the corporate email and identified it as dangerous by leveraging its Sandboxing technology and updated the information in its real-time threat intelligence cloud.

When the same malicious file tried to be delivered through Microsoft Teams, the company was already one step ahead. The security architecture implemented also extends to collaboration platforms, so the file was immediately blocked before it could cause harm. Almost simultaneously, another employee received an attack attempt through WhatsApp, which was neutralized by the mobile device security solution, aligned with the same threat intelligence cloud.

This comprehensive and coordinated security strategy demonstrates the strength and effectiveness of the Cyber Security Mesh approach, which allows companies to always be one step ahead, even when facing complex and sophisticated multi-vector attacks. The architecture allows different security solutions to collaborate in real-time, offering effective defense against emerging and constantly evolving threats.

The result is solid security that blocks multiple potential entry points before they can be exploited, thus minimizing risk and allowing the company to continue its operations without interruption. This case exemplifies the potential of a well-implemented and consolidated security strategy, capable of addressing the most modern and complex threats.

Is there anything else that you would like to share with the CyberTalk.org audience?

To conclude, the Cyber Security Mesh approach aligns well with the three key business challenges that every CISO faces:

Breach and Data Leak Prevention: The Cyber Security Mesh framework is particularly strong in offering an additional layer of protection, enabling effective prevention against emerging threats and data breaches. This aligns perfectly with our first ‘C’ of being Comprehensive, ensuring security across all attack vectors.

Secure Digital and Cloud Transformation: The flexibility and scalability of the Mesh framework make it ideal for organizations in the process of digital transformation and cloud migration. Here comes our second ‘C’, which is Consolidation. We offer a consolidated architecture that unifies multiple products and technologies, from the network to the cloud, thereby optimizing operational efficiency and making digital transformation more secure.

Security Investment Optimization: Finally, the operational efficiency achieved through a Mesh architecture helps to optimize the security investment. This brings us to our third ‘C’ of Collaboration. The intelligence shared among control points, powered by our ThreatCloud intelligence cloud, enables quick and effective preventive action, maximizing the return on security investment.

In summary, Cyber Security Mesh is not just a technological solution, but a strategic framework that strengthens any CISO’s stance against current business challenges. It ideally complements our vision and the three C’s of Check Point, offering an unbeatable value proposition for truly effective security.

The post Synergy between cyber security Mesh & the CISO role: Adaptability, visibility & control appeared first on CyberTalk.