Showing posts with label CTEM. Show all posts
Showing posts with label CTEM. Show all posts

Daily Tech Digest - April 06, 2026


Quote for the day:

“Victory has a hundred fathers and defeat is an orphan." -- John F. Kennedy


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OCSF explained: The shared data language security teams have been missing

The Open Cybersecurity Schema Framework (OCSF) is a transformative open-source initiative designed to standardize how security data is represented across the industry. Traditionally, security operations centers have struggled with a "normalization tax," spending excessive time translating disparate data formats from various vendors into a unified view. OCSF solves this by providing a vendor-neutral schema that allows products from different providers to share telemetry, events, and findings seamlessly. Launched in 2022 by industry giants like AWS and Splunk, the framework has rapidly expanded to include over 200 organizations and now operates under the Linux Foundation. Beyond basic logging, OCSF is evolving to meet the demands of the AI era, incorporating specific updates to track model behaviors, agentic tool calls, and token usage. This standardization is critical as enterprises deploy complex AI systems that generate novel forms of telemetry across product boundaries. By removing the friction of data translation, OCSF enables faster threat detection and more efficient correlation across identity, cloud, and endpoint security layers. Ultimately, it shifts the focus from managing data infrastructure to performing high-level analytics, providing the shared language necessary for modern cybersecurity teams to defend against increasingly sophisticated and automated threats.


What it takes to step into a C-level technology role

Transitioning into a C-level technology role like CIO or CTO requires a fundamental shift from managing specific digital transformation initiatives to taking full accountability for an entire organization’s strategy and operational stability. According to the article, aspiring executives must move beyond being technical experts to becoming influential leaders who can navigate ambiguity and complexity. Utilizing the 70-20-10 learning model is essential; seventy percent of growth should come from high-impact on-the-job experiences, such as collaborating with sales to build business acumen or leading workshops for executive boards. Twenty percent involves social learning through professional networking and peer communities, which are vital for filtering AI hype and developing realistic, data-driven visions. The final ten percent encompasses formal education, including specialized executive courses and continuous reading to stay ahead of rapid innovation. Modern C-suite leaders must prioritize data literacy and AI governance while mastering the ability to listen and pivot when market conditions shift. However, candidates should be prepared for the significant stress associated with these roles, as nearly half of current CIOs report extreme pressure. Ultimately, success at the executive level depends on the capacity to translate complex technical strategies into sustained business value and resilient digital operating models.


Recovery readiness, not backup strategy: The future of enterprise cybersecurity

The article argues that traditional backup strategies are no longer sufficient in the face of modern cyber threats, necessitating a shift toward "recovery readiness" as a strategic priority. With the global average cost of data breaches reaching $4.88 million and attackers dwelling in networks for months, the landscape has evolved; notably, 93% of ransomware attacks now specifically target backup repositories. This trend renders the simple act of storing data inadequate if the ability to restore it is compromised. Organizations must move beyond the question of whether they possess backups and instead evaluate their capacity to recover effectively under coordinated adversarial pressure. Achieving genuine resilience requires treating backup infrastructure as a critical strategic asset rather than an afterthought, utilizing advanced protections like immutable storage, network isolation, and zero-trust architectures to limit blast radii. Furthermore, the piece emphasizes the necessity of regular, high-stakes cyber drills to expose operational gaps and ensure that recovery timelines are realistic. By embedding resilience directly into their architectural design and organizational culture, enterprises can significantly reduce recovery times and costs. Ultimately, the future of cybersecurity lies in incident readiness and tested, enterprise-scale recovery capabilities that allow businesses to navigate sophisticated threats with confidence and credibility.


Getting SOCs Back On The Front Foot With Paranoid Posture Management

The modern security operations center (SOC) faces overwhelming challenges, with mean breach detection times exceeding eight months due to alert fatigue, tool fragmentation, and a worsening cybersecurity skills shortage. In response, Merlin Gillespie introduces "paranoid posture management," a proactive strategy designed to reclaim the initiative from sophisticated threat actors who leverage AI and the cybercrime-as-a-service economy. This approach utilizes intelligent automation and advanced detection logic to correlate numerous low-severity alerts that might otherwise be ignored, effectively uncovering "living-off-the-land" techniques. By implementing nested automated playbooks—potentially running millions of actions daily—SOCs can automate up to 70% of their activity and capture ten times the volume of security events without increasing analyst burnout. This method prioritizes deep contextual enrichment, providing analysts with ready-to-use threat intelligence and entity mapping to accelerate decision-making. While technology is foundational, the human element remains critical; Gillespie suggests that many organizations may benefit from partnering with managed service providers who possess the specialized talent necessary to navigate this high-intensity monitoring environment. Ultimately, paranoid posture management transforms the SOC from a reactive state into a high-fidelity defense machine, ensuring that critical threats are identified and neutralized before they can cause catastrophic damage to the corporate network.


Cloud security turns to identity, access & sovereignty

In honor of World Cloud Security Day, industry experts from Docusign, BeyondTrust, and Saviynt have highlighted a fundamental shift in cybersecurity, where identity, data sovereignty, and access controls now define the modern cloud defense strategy. Moving away from traditional perimeter-based security, organisations are increasingly prioritising the management of digital identities to combat breaches caused by misconfigurations and excessive privileges. Docusign’s leadership emphasizes that trust is built through rigorous security standards and data residency, noting the importance of storing data onshore to meet Australian regulatory requirements. Meanwhile, BeyondTrust points out that identity has become the primary control plane and attack vector, where even simple credential misuse can lead to hyperscale breaches. A significant emerging challenge identified by Saviynt is the rise of non-human identities, such as AI agents, which often operate with high-level access but minimal oversight. To address these risks, experts advocate for a converged security approach that integrates identity governance across all users and machines. By implementing zero-trust principles and just-in-time access, businesses can better protect their sensitive assets in complex, distributed environments. Ultimately, cloud security is no longer just a technical function but a critical business priority essential for maintaining long-term digital trust and regulatory compliance.


The Hidden Cost of Siloed Data in Financial Services

The hidden cost of siloed data in financial services is a multifaceted issue that undermines operational efficiency, strategic decision-making, and customer relationships. When information is trapped in disconnected systems, institutions face significant "decision latency," where gathering and reconciling conflicting data sets stretches timelines and erodes executive confidence. These silos create "blind spots" that lead to missed revenue opportunities—such as failing to identify ideal candidates for cross-selling wealth management or loan products. Beyond internal friction, fragmented data poses serious regulatory and security risks; manual reconciliation increases the likelihood of reporting errors, while inconsistent security protocols across platforms leave vulnerabilities that hackers can exploit. Furthermore, the lack of a unified customer view results in impersonal or irrelevant marketing, damaging client trust. To remain competitive, financial institutions must shift from viewing data integration as a mere IT project to recognizing it as a strategic imperative. By adopting unified platforms and fostering a culture of transparency, firms can transform their data from a stagnant liability into a proactive asset, enabling real-time insights that drive innovation, ensure compliance, and enhance the overall customer journey.


$285 Million Drift Hack Traced to Six-Month DPRK Social Engineering Operation

On April 1, 2026, the Solana-based decentralized exchange Drift Protocol suffered a catastrophic exploit resulting in the theft of $285 million, an event now traced to a meticulously planned six-month social engineering operation by North Korean state-sponsored actors. Attributed with medium confidence to the group UNC4736—also known as Golden Chollima or AppleJeus—the campaign began in late 2025 when hackers posing as legitimate quantitative traders built rapport with Drift contributors at global industry conferences. These attackers established deep professional trust through months of technical dialogue before deploying two primary infection vectors: a malicious Microsoft Visual Studio Code repository weaponizing the "tasks.json" file and a fraudulent wallet app distributed via Apple’s TestFlight. The breach culminated in the compromise of administrative multisig keys, allowing the hackers to bypass security circuit breakers and utilize a fabricated asset called "CarbonVote Token" as collateral to drain protocol vaults in mere minutes. As the largest DeFi hack of 2026 and the second-largest in Solana's history, this incident underscores the evolving sophistication of the DPRK’s "deliberately fragmented" malware ecosystem, which increasingly leverages high-effort human interactions and weaponized developer tools to bypass traditional security perimeters and fund state military ambitions.


How CIOs Can Turn Enterprise Insight Into Action

In the evolving digital landscape, Chief Information Officers (CIOs) are increasingly tasked with transforming vast quantities of enterprise data into tangible business outcomes. The article explores how modern IT leaders bridge the gap between simple data collection and strategic execution. A primary challenge identified is the persistence of data silos, which often hinder a holistic view of the organization. To combat this, CIOs are adopting unified data platforms and leveraging advanced analytics and artificial intelligence to extract meaningful patterns. Beyond technical implementation, the focus is shifting toward fostering a data-driven culture where decision-making is democratized across all levels of the enterprise. By aligning IT initiatives with specific business goals, CIOs ensure that insights lead directly to improved operational efficiency and enhanced customer experiences. Furthermore, the integration of real-time processing allows companies to respond rapidly to market shifts. Ultimately, the role of the CIO has transitioned from a backend service provider to a central strategist who uses technology to catalyze growth. Success in this domain requires a balance of robust infrastructure, clear governance, and a commitment to continuous innovation to ensure that enterprise insights do not remain static but instead drive proactive, value-added actions.


CTEM for Financial Services: A Guide to Continuous Threat Exposure Management

Continuous Threat Exposure Management (CTEM) represents a vital shift for financial institutions navigating a landscape defined by sophisticated threats and strict regulations like DORA. Unlike traditional vulnerability management, which often focuses on reactive patching, CTEM provides a proactive, five-stage framework: scoping, discovery, prioritization, validation, and mobilization. By implementing this iterative process, banks and insurers can map their entire digital attack surface and focus limited resources on risks with the highest exploitability and business impact. Industry experts emphasize that CTEM moves beyond "check the box" compliance, offering fifty percent better visibility into exposures. Gartner predicts that organizations adopting this methodology will be three times less likely to suffer a breach by 2026, highlighting its effectiveness in protecting high-value data and maintaining customer trust. The final stage, mobilization, ensures that security and IT teams collaborate effectively to remediate actionable threats rather than chasing theoretical risks. Ultimately, CTEM enables financial leaders to transition from a static defense to a continuous, risk-based strategy. This evolution is essential for safeguarding payment platforms and trading systems in an environment where downtime is not an option and cyber threats evolve faster than traditional security cycles can manage.


Residential proxies make a mockery of IP-based defenses

The provided article highlights a significant shift in the cyber threat landscape as residential proxies increasingly undermine traditional IP-based security defenses. According to research from GreyNoise Intelligence, which analyzed four billion malicious sessions over a 90-day period, nearly 40% of all IPs targeting enterprise sensors are now residential. This trend weaponizes trusted consumer infrastructure, such as home broadband and mobile connections, making malicious activity nearly indistinguishable from legitimate traffic. Because these residential IPs are short-lived and rotate frequently—often appearing only once before disappearing—static IP reputation lists and geolocation-based filters are becoming largely ineffective. The traffic originates from compromised Windows systems and IoT devices, including routers and cameras, which are recruited into botnets without user knowledge. While these proxies are primarily used for scanning and reconnaissance—specifically targeting enterprise VPN gateways—they serve as a critical precursor to more direct exploitation from hosting environments. Experts describe this evolution as "nightmare fuel" for defenders, as it flips traditional perimeter security models on their head. Even following the disruption of major proxy networks like IPIDEA, attackers quickly adapt by shifting to datacenter infrastructure, proving that organizations must move beyond simple IP reputation to more sophisticated, behavior-based security strategies to remain protected.

Daily Tech Digest - October 05, 2024

Integrating and Scaling AI Solutions with Modular Architecture

The modular AI ecosystem is a fluid environment comprising various players that contribute to the democratization and commoditization of AI technologies. Foundational model providers (e.g., ChatGPT and Koala) create core capabilities and specialized SLMs. Enterprise AI solution providers (e.g., Kore AI and Haptik) build prepackaged and customized domain and industry-specific solutions. AI service providers (e.g., HuggingFace and Scale AI) offer platforms to build AI models and provide services such as data labeling, prompt engineering, and fine-tuning AI models. Infrastructure players (e.g., AWS and Azure) provide cloud services to host AI models, data storage and management solutions, and high-performance computing resources. This ecosystem facilitates the rapid innovation of AI technologies while broadening their reach. ... Adopting modular AI architectures offers significant opportunities but also presents challenges. While the transition and upfront investment can be costly and demanding, particularly for legacy-laden enterprises, the potential benefits — such as enhanced agility, lower costs, and easier access to specialized AI tools — are interesting.


Why cloud security outranks cost and scalability

As businesses integrate cloud computing, they grapple with escalating complexity and cyberthreats. To remain agile and competitive, they embrace cloud-native design principles, an operational model that allows for independence and scalability through microservices and extensive API usage. However, this does not come without its challenges. ... Complex cloud environments mean that adopting cloud-native designs introduces layers of complexity. Ensuring security across distributed components (microservices and APIs) becomes crucial, as misconfigurations or vulnerabilities can lead to significant risks. I’ve been screaming about this for years, along with others. Although we accept complexity as a means to an end in terms of IT, it needs to be managed in light of its impact on security. Compliance and regulatory pressures mean that many industries face strict regulations regarding data protection and privacy (e.g., GDPR, CCPA). Ensuring compliance requires robust security measures to protect sensitive information in the cloud. Many enterprises are moving to sovereign or local clouds that are local to the laws and regulations they adhere to. Companies view this as reducing risk; even if those clouds are more expensive, the risk reduction is worth it.


Kaspersky confirmed the issue on the company's official forums on Sunday and said that it's currently investigating why its software is no longer available on Google's app store. "The downloads and updates of Kaspersky products are temporarily unavailable on the Google Play store," a Kaspersky employee said. "Kaspersky is currently investigating the circumstances behind the issue and exploring potential solutions to ensure that users of its products can continue downloading and updating their applications from Google Play." While the apps are unavailable, Kaspersky advised users to install them from alternative app stores, including the Galaxy Store, Huawei AppGallery, and Xiaomi GetApps. The company's security apps can also be installed by downloading the .apk installation file from Kaspersky's website. This support page provides more information on how to install and activate Kaspersky's software on Android devices. This comes after Kaspersky told BleepingComputer in July that it would shut down its United States operations after the U.S. government sanctioned the company and 12 executives and banned Kaspersky antivirus software over national security concerns in June.


How to Get Going with CTEM When You Don't Know Where to Start

Continuous Threat Exposure Management (CTEM) is a strategic framework that helps organizations continuously assess and manage cyber risk. It breaks down the complex task of managing security threats into five distinct stages: Scoping, Discovery, Prioritization, Validation, and Mobilization. Each of these stages plays a crucial role in identifying, addressing, and mitigating vulnerabilities - before they can be exploited by attackers. ... As transformational as CTEM is, many teams see the list above and understandably back off, feeling it's too complex and nuanced of an undertaking. Since the inception of CTEM, some teams have chosen to forgo the benefits, because even with a roadmap, it seems just too cumbersome of a lift for them. The most productive way to make CTEM a very attainable reality is with a unified approach to CTEM that simplifies implementation by integrating all the multiple stages of CTEM into one cohesive platform. ... XM Cyber's unified approach to CTEM simplifies implementation by integrating multiple stages into one cohesive platform. This minimizes the complexity associated with deploying disparate tools and processes. 


Microsoft Sees Devs Embracing a ‘Paradigm Shift’ to GenAIOps

“One of the key differences with GenAI compared to classic machine learning is that in almost all cases, the GenAI model was not built by the developers’ organization; rather it licensed it or accessed it via an API or downloaded it from an open source repository such as Hugging Face,” Patience told The New Stack. “That puts a greater importance on choosing the right models for the task. Contrast that with narrower predictive models using classic machine learning which were usually built and trained using the organization’s own data.” Many LLMs are massive in size and GenAIOps will bring a more orderly process to collecting, curating, cleaning, and creating proper data sets and the proper measured creation of models with specific checkpoints, Andy Thurai, principal analyst at Constellation Research, told The New Stack. “Otherwise, it will lead to chaos for many reasons,” Thurai said. “This can also lead to huge infrastructure costs if the models are not trained properly. So far, many developers use random techniques and procedures to create ML models or even LLMs. These defined processes, technologies, and procedures bring some order to the creation, deployment, and maintenance of those models.”


How Tech Companies Are Readying IT Security For Quantum Computing

When preparing for PQC, a good place to start is to identify all the points of encryption in your organization. Start with sensitive areas including VPN, external server access and remote access. IT leaders should also identify the cryptographic methods you’re currently using and think about how your organization can upgrade to post-quantum standards in the future. Some encryption methods that are currently in use are particularly vulnerable to future quantum computers. For example, a method called RSA (named after Ron Rivest, Adi Shamir and Leonard Adleman, who publicly described the algorithm in 1977) encrypts a large portion of internet traffic. While this method uses prime factors that are difficult for traditional computers to decode, it’s much easier for a quantum computer. Prior to a powerful quantum computer being released, organizations will need to replace RSA. Fortunately, there are many options to do this. One is to double the number of bits current RSA encryption uses from 2048 to 4,096. This number is difficult for even quantum computers to crack. The same goes for other encryption schemes. By increasing the problem size, you can make it much harder to solve.


Why MFA alone won’t protect you in the age of adversarial AI

“MFA changed the game for a long time,” said Caulfield. “But what we’ve found over the past 5 years with these recent identity attacks is that MFA can easily be defeated.” One of the greatest threats to MFA is social engineering or more personalized psychological tactics. Because people put so much of themselves online — via social media or LinkedIn — attackers have free reign to research anyone in the world. Thanks to increasingly sophisticated AI tools, stealthy threat actors can craft campaigns “at mass scale,” said Caulfield. They will initially use phishing to access a user’s primary credential, then employ AI-based outreach to trick them into sharing a second credential or take action that allows attackers into their account. Or, attackers will spam the secondary MFA SMS or push notification method causing “MFA fatigue,” when the user eventually gives in and pushes “allow.” Threat actors will also prime victims, making situations seem urgent, or fool them into thinking they’re getting legitimate messages from an IT help desk. With man-in-the-middle attacks, meanwhile, an attacker can intercept a code during transmission between user and provider.


How Functional Programming Can Help You Write Efficient, Elegant Web Applications

Functional programming might seem intimidating and overly academic at first, but once you get the hang of it, it's a game-changer and a lot of fun on top of it! To better understand how functional programming can help us build more maintainable software, let's start from the beginning and understand why a program becomes harder and harder to maintain as it becomes more significant. ... Another advantage of pure functions is that they are easy to test for the above reasons. There is no need to mock objects because every function depends only on its inputs, and there is no need to set up and verify internal states at the end of the tests because they don't have any. Finally, using immutable data and pure functions dramatically simplifies the parallelisation of tasks across multiple CPUs and machines on the network. For this reason, many of the so-called "big data" solutions have adopted functional architectures. However, there are no silver bullets in computer programming. Both the functional approach and the object-oriented approach have tradeoffs. If your application has a very complex mutable state that is primarily local, it may take much work to model in a functional design.


AI has a stupid secret: we’re still not sure how to test for human levels of intelligence

Traditional human IQ tests have long been controversial for failing to capture the multifaceted nature of intelligence, encompassing everything from language to mathematics to empathy to sense of direction. There’s an analagous problem with the tests used on AIs. There are many well established tests covering such tasks as summarising text, understanding it, drawing correct inferences from information, recognising human poses and gestures, and machine vision. Some tests are being retired, usually because the AIs are doing so well at them, but they’re so task-specific as to be very narrow measures of intelligence. For instance, the chess-playing AI Stockfish is way ahead of Magnus Carlsen, the highest scoring human player of all time, on the Elo rating system. Yet Stockfish is incapable of doing other tasks such as understanding language. Clearly it would be wrong to conflate its chess capabilities with broader intelligence. But with AIs now demonstrating broader intelligent behaviour, the challenge is to devise new benchmarks for comparing and measuring their progress. One notable approach has come from French Google engineer François Chollet. He argues that true intelligence lies in the ability to adapt and generalise learning to new, unseen situations.


How CISOs are navigating the “slippery” AI data protection problem

The problem, according to Hudson, is that policing this is “too slippery” and that as soon as businesses say no to their staff, or block access to the platforms, they simply find ways to circumvent these measures. Hudson asked a panel of CISOs at leading financial institutions in the US on how they were navigating this landscape fraught with potential privacy violations. Togai Andrews, CISO at the Bureau of US Engraving and Printing, said he had been working on developing a governance policy to allow the use of generative AI technology in a responsible way but struggled to back up this policy with effective technical controls. Andrews said this failure to enforce the policy was laid bare in a recent internal report on employee use of generative AI in the office, noting that he was virtually powerless to prevent it. “A month ago I got a report that stated about 40% of our users were using [tools like] Copilot, Grammarly, or ChatGPT to make reports and to summarize internal documents, but I had no way of stopping it.” He explained that as a result he has changed his approach to ensuring employees have a better grasp of the data risks associated with using such tools in their day-to-day workflow.



Quote for the day:

"Hold yourself responsible for a higher standard than anybody expects of you. Never excuse yourself." -- Henry Ward Beecher