Daily Tech Digest by Kannan Subbiah: malware

Showing posts with label malware. Show all posts

Daily Tech Digest - April 30, 2026

Quote for the day:

"You've got to get up every morning with determination if you're going to go to bed with satisfaction." --George Lorimer

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Duration: 15 mins • Perfect for listening on the go.

The dreaded IT audit: How to get through it and what to avoid

The article "The dreaded IT audit: how to get through it and what to avoid" from IT Pro encourages organizations to reframe the auditing process as a strategic business asset rather than a burdensome cost center. Successfully navigating an audit requires maintaining a comprehensive, up-to-date inventory of all technology assets—including those used by remote workforces—to ensure security, safety, and insurance compliance. Even startups should establish structured auditing processes, as these evaluations proactively identify vulnerabilities and optimize operational efficiency. To streamline the experience, the article recommends prioritizing high-risk areas, such as software licensing, and utilizing customized spot checks instead of repetitive, standardized reviews that may fail to uncover meaningful insights. Crucially, leaders must adopt an open-minded approach to findings; the goal is to engage in transparent discussions about discovered issues rather than becoming defensive. Key pitfalls to avoid include treating the audit as a one-time administrative hurdle, relying on outdated manual tracking methods, and ignoring the gathered data. Instead, organizations should leverage audit results to inform staff training and drive practical improvements. By viewing the audit as a strategic opportunity for growth, companies can significantly strengthen their cybersecurity posture and ensure long-term sustainability in a digital economy.

Privacy in the AI era is possible, says Proton's CEO, but one thing keeps him up at night

In a wide-ranging interview at the Semafor World Economy Summit, Proton CEO Andy Yen addressed the critical tension between the rapid advancement of artificial intelligence and the fundamental right to digital privacy. Yen voiced significant concerns regarding the current AI trajectory, arguing that the industry's reliance on massive data harvesting inherently threatens individual security. He advocated for a paradigm shift toward "privacy-first AI," where processing occurs locally on user devices or through end-to-end encrypted frameworks to ensure that personal information remains inaccessible to service providers. Unlike the advertising-driven models of Silicon Valley giants, Yen highlighted Proton’s commitment to a subscription-based business model, which avoids the ethical pitfalls of monetizing user data. He also explored the "privacy paradox," observing that while users value their data, they often succumb to the convenience of free platforms. To counter this, Proton is expanding its ecosystem with tools like encrypted email and small language models designed specifically for security. Ultimately, Yen emphasized that the future of the digital economy hinges on stricter regulatory enforcement and the adoption of decentralized technologies that empower users with absolute control over their information, rather than treating them as products to be sold.

Outsourcing contracts weren't built for AI. CIOs are renegotiating now

The rapid advancement of generative artificial intelligence is necessitating a major overhaul of IT outsourcing agreements, as traditional contracts centered on headcount and billable hours prove incompatible with AI-driven efficiency. This InformationWeek article explains that while service providers promise productivity gains of up to 70%, legacy full-time equivalent (FTE) models fail to account for this increased output, leading CIOs to aggressively renegotiate for outcome-based pricing. This shift allows organizations to pay for specific results rather than human time, yet it introduces significant legal complexities. Key concerns include data sovereignty—where proprietary data might inadvertently train a provider's large language model—and intellectual property risks regarding the ownership of AI-generated code. Furthermore, the ability of AI to automate routine tasks is prompting some enterprises to bring previously outsourced functions back in-house, as smaller internal teams can now manage workloads that once required massive offshore cohorts. To navigate these challenges, technical leaders are implementing "gain-sharing" frameworks and rigorous governance standards to manage risks like AI hallucinations and liability. Ultimately, CIOs are assuming a more central role in procurement to ensure that vendor incentives align with genuine innovation and that the financial benefits of automation are captured by the enterprise.

Bad bots make up 40% of internet traffic

The "2026 Thales Bad Bot Report: Bad Bots in the Agentic Age" reveals a transformative shift in internet traffic, where automated activity now accounts for 53% of all web interactions, surpassing human traffic for the second consecutive year. Malicious "bad bots" alone comprise 40% of global traffic, highlighting a growing threat landscape. A critical finding is the 12.5x surge in AI-driven bot attacks, fueled by the rapid adoption of agentic AI which blurs the lines between legitimate and harmful automation. These advanced bots are increasingly targeting APIs, with 27% of attacks now bypassing traditional interfaces to exploit backend logic directly at machine speed. The financial services sector remains the most vulnerable, suffering 24% of all bot attacks and nearly half of all account takeover incidents. Thales experts, including Tim Chang, emphasize that the primary security challenge has evolved from simple bot identification to the complex analysis of behavioral intent. As AI agents emerge as a new traffic category, organizations must transition to proactive, intent-based defenses that can distinguish between helpful AI agents and malicious automation. This machine-driven era necessitates deeper visibility into API traffic and identity systems to maintain trust and security across modern digital infrastructures.

Incentive drift: Why transformation fails even when everything looks green

In the article "Incentive Drift: Why Transformation Fails Even When Everything Looks Green," Mehdi Kadaoui explores the paradoxical failure of IT transformations that appear successful on paper. The central challenge is "incentive drift"—the structural separation of authority from accountability that leads organizations to optimize for project delivery rather than business value. This drift manifests through several destructive patterns: the "ownership vacuum," where strategy and execution are disconnected; the "budgetary firewall," which isolates capital spending from operational costs; and "language capture," where success definitions are subtly redefined to ensure "green" status. Kadaoui argues that "collective amnesia" often follows, as organizations quietly lower their expectations to avoid acknowledging failure. To resolve this, he proposes making drift "structurally expensive" through three key mechanisms. First, a "value prenup" requires operational leaders to explicitly own and sign off on intended outcomes before development begins. Second, a "cost mirror" forces transparency across budget ledgers. Finally, a "semantic anchor" ensures original goals are read aloud in every governance meeting to prevent meaning erosion. By grounding digital transformation in rigid accountability and linguistic clarity, leadership can ensure that technological outputs translate into genuine, durable enterprise value.

How to Be a Great Data Steward: 6 Core Skills to Build

The article "Core Data Stewardship Skills to Build" emphasizes that effective data stewardship requires a unique blend of technical proficiency, business acumen, and interpersonal skills. High-performing stewards act as "purple people," bridging the gap between IT and business by translating complex technical standards into actionable business practices. Key operational activities include identifying and documenting Critical Data Elements (CDEs), aligning them with precise business terms, and performing data profiling to identify quality issues. Beyond basic documentation, stewards must master data classification to ensure regulatory compliance with frameworks like GDPR or HIPAA. Analytical thinking is essential for interpreting patterns and uncovering root causes of data inconsistencies, while strong communication skills enable stewards to foster a collaborative, data-driven culture. Furthermore, literacy in adjacent domains such as metadata management, master data management (MDM), and the use of modern data catalogs is vital. Ultimately, the role is outcome-driven; stewards do not just manage data for its own sake but focus on ensuring data health to drive measurable organizational value. By combining attention to detail with strategic consistency, data stewards serve as the essential operational guardians who transform raw data into a reliable, high-quality strategic asset for their organizations.

Researchers unearth industrial sabotage malware that predated Stuxnet by 5 years

Researchers from SentinelOne recently uncovered a sophisticated malware framework, dubbed "Fast16," that predates the infamous Stuxnet worm by five years. Active as early as 2005, this discovery shifts the timeline of state-sponsored industrial sabotage, proving that nation-states were deploying cyberweapons against physical infrastructure much earlier than previously understood. Unlike typical espionage tools designed for data theft, Fast16 was engineered for strategic sabotage by targeting high-precision floating-point arithmetic operations within engineering modeling software. By corrupting the logic of the Floating Point Unit (FPU), the malware produced subtly altered outputs in complex simulations, potentially leading to catastrophic real-world failures. The researchers identified three specific targeted engineering programs, including one previously associated with Iran’s AMAD nuclear program and another widely used in Chinese structural design. The modular nature of Fast16, which utilizes encrypted Lua bytecode, underscores its advanced design and national importance. This finding highlights a historical precedent for cyberattacks on critical workloads in fields such as advanced physics and nuclear research. Ultimately, Fast16 serves as a significant harbinger for modern industrial sabotage, demonstrating that the transition from strategic espionage to physical disruption in cyberspace was already in full swing two decades ago, long before Stuxnet gained global notoriety.

How AI Is Transforming Business Continuity and Crisis Response

Charlie Burgess’s article, "How AI Is Transforming Business Continuity and Crisis Response," explores the pivotal role of artificial intelligence in navigating the complexities of modern digital and physical risks. As businesses face increasingly non-linear threats, from supply chain disruptions to cyber incidents, the abundance of generated data often leads to information overload. AI addresses this by acting as a sophisticated data analysis tool that parses vast information streams to identify hidden patterns and suppress low-priority noise. This allows crisis teams to focus on critical alerts and early warning signs. Furthermore, AI enhances situational awareness and coordination by correlating disparate system inputs and surfacing standardized playbook responses. During active incidents, technologies like AI-powered cameras provide real-time visibility, aiding in personnel safety and evacuation efforts. Beyond immediate response, AI suggests optimized recovery paths and strategic resource allocation, fostering long-term operational resilience. Ultimately, the integration of AI is not intended to replace human judgment but to empower decision-makers with actionable insights and agility. By bridging the gap between data collection and decisive action, AI transforms business continuity from a reactive necessity into a proactive, evidence-based strategic asset that safeguards both personnel and organizational stability in an unpredictable global landscape.

Europe Gliding Toward Mandatory Online Age Verification

The European Commission is accelerating its push toward mandatory online age verification, driven by the Digital Services Act's requirements to protect minors from harmful content. Central to this initiative is a new age assurance framework and a "technically ready" open-source mobile app designed to allow users to prove they are over a certain age using national identity documents without disclosing their full identity. However, this transition faces intense scrutiny. Security researchers recently identified significant vulnerabilities in the commission's prototype app, labeling it "easily hackable." Furthermore, privacy advocates, such as representatives from Tuta, warn that centralized age verification creates a lucrative "gold mine" for hackers, potentially exacerbating risks like phishing and identity theft. Despite these concerns, European officials like Henna Virkkunen emphasize that the DSA demands concrete action over mere terms of service, particularly following allegations that platforms like Meta have failed to adequately exclude children under thirteen. As several European nations consider raising minimum age requirements for social media, the commission continues to advocate for "robust and non-discriminatory" verification tools that can be integrated into national digital wallets, insisting that ongoing security testing will eventually yield a reliable solution for safeguarding the digital environment for children.

CodeGuardian: A Model Context Protocol Server for AI-Assisted Code Quality Analysis and Security Scanning

"CodeGuardian: A Model Context Protocol Server for AI-Assisted Code Quality Analysis and Security Scanning" introduces a breakthrough tool designed to integrate enterprise-grade security and quality checks directly into AI-powered development environments. Authored by Madhvesh Kumar and Deepika Singh, the article details how CodeGuardian leverages the Model Context Protocol (MCP) to extend coding assistants with eleven specialized analysis tools. This integration eliminates the friction of context-switching by allowing developers to execute security scans, identify hardcoded secrets across multiple layers, and generate compliant Software Bill of Materials (SBOM) using simple natural language prompts. Unlike traditional static analysis tools that merely flag issues, CodeGuardian provides context-aware, "drop-in" code remediations tailored to a project's specific framework and style. A core feature is its cross-layer security reporting, which aggregates findings into a single risk score, exposing systemic vulnerabilities that isolated scanners often miss. By shifting security "left" into the immediate coding workflow, the tool empowers developers to build more resilient software while maintaining high delivery velocity. Ultimately, CodeGuardian represents a pivot toward "agentic" security, where AI assistants act as proactive guardians of code integrity throughout the development lifecycle, effectively bridging the gap between rapid feature delivery and robust organizational compliance.

Daily Tech Digest - April 09, 2026

Quote for the day:

"Success… seems to be connected with action. Successful people keep moving. They make mistakes, but they don’t quit." -- Conrad Hilton

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Duration: 14 mins • Perfect for listening on the go.

Four actions CIOs must take to turn innovation into impact

In the article "Four actions CIOs must take to turn innovation into impact," the author outlines a strategic roadmap for technology leaders to meet high board expectations by delivering measurable value over the next 18 to 24 months. First, CIOs must scale AI for impact by moving beyond isolated pilots toward industrialization, utilizing and to embed AI across the entire software development lifecycle. Second, they should establish a unified data and AI governance framework, potentially appointing a Chief Data & AI Officer and using to create real-time feedback loops for operational redesign. Third, the article stresses the importance of transitioning toward agile, secure infrastructures through predictive observability tools and a strategic hybrid cloud approach that balances agility with sovereign control. Finally, CIOs must redefine IT performance metrics by integrating ESG goals and shifting from traditional capital expenditures to an operational expenditure model via Lean Portfolio Management. This shift allows for continuous, outcome-based funding and improved financial discipline. By orchestrating these four pillars—AI scaling, integrated governance, resilient infrastructure, and modernized performance tracking—CIOs can move from mere implementation to creating a sustained organizational rhythm where innovation consistently translates into enterprise-wide performance and growth.

LLM-generated passwords are indefensible. Your codebase may already prove it

Large language models (LLMs) are fundamentally unsuitable for generating secure passwords, as their architectural design favors predictable patterns over the true randomness required for . Research from firms like Irregular and Kaspersky demonstrates that LLMs produce "vibe passwords" that appear complex to human eyes and standard entropy meters but exhibit significant structural biases. These models often repeat specific character sequences and positional clusters, allowing adversaries to use model-specific dictionaries to crack credentials with far less effort than a standard brute-force attack. A critical concern is the rise of AI coding agents that autonomously inject these weak secrets into production infrastructure, such as Docker configurations and Kubernetes manifests, without explicit developer oversight. Because traditional secret scanners focus on pattern matching rather than entropy distribution, these vulnerabilities often go undetected in modern codebases. To mitigate this emerging threat, organizations must conduct retrospective audits of AI-assisted repositories, rotate any credentials not derived from a cryptographically secure pseudorandom number generator (CSPRNG), and update development guidelines to strictly prohibit LLM-sourced secrets. Ultimately, while AI excels at fluency, its reliance on training-corpus statistics makes it an indefensible choice for maintaining the mathematical unpredictability essential to robust enterprise security.

Why Zero‑Trust Privileged Access Management May Be Essential for the Semiconductor Industry

The article highlights the urgent need for the semiconductor industry to move beyond traditional "castle and moat" security models and adopt a robust Zero-Trust Architecture (ZTA). As semiconductor fabrication plants are increasingly classified as critical infrastructure, Identity and Privileged Access Management (PAM) have emerged as the most vital defensive layers. The core philosophy of Zero-Trust—"never trust, always verify"—is essential for managing the complex interactions between internal engineers, third-party vendors, and automated systems. By implementing the Principle of Least Privilege (PoLP) and Just-In-Time (JIT) access, organizations can effectively eliminate standing privileges and significantly minimize the risk of lateral movement by attackers. Beyond controlling human and machine access, ZTA safeguards sensitive assets like digital blueprints, intellectual property, and production telemetry through encryption and proactive secrets management. Modern PAM platforms play a pivotal role by unifying credential rotation, secure remote access, and real-time session monitoring into a single, policy-driven security framework. Ultimately, embracing these advanced measures is not just about meeting regulatory compliance or subsidy-linked mandates; it is a strategic necessity to ensure global economic competitiveness and long-term industrial resilience. This shift ensures the semiconductor supply chain remains secure against sophisticated cyber threats while enabling continued innovation.

Cloud migration’s biggest illusion: Why modernisation without security redesign is a strategic mistake

Cloud migration is frequently perceived as a mere technical relocation, a "lift-and-shift" approach that promises agility and resilience. However, Jayjit Biswas argues in Express Computer that this perspective is a strategic illusion. Modernization without a fundamental security redesign is a critical error because cloud environments operate on fundamentally different trust and control models compared to traditional on-premises systems. While cloud providers offer robust infrastructure, the "" dictates that customers remain accountable for managing identities, configurations, and data protection. Many organizations fail to internalize this, leading to invisible but scalable vulnerabilities like excessive privileges, misconfigurations, and weak API governance. Unlike perimeter-based legacy systems, the cloud is identity-centric and dynamic, where a single administrative oversight can lead to an enterprise-wide crisis. True transformation requires shifting from a server-centric mindset to a policy-driven, identity-first architecture. Instead of treating security as a post-migration cleanup, businesses must establish rigorous security baselines as a prerequisite for moving workloads. Ultimately, the successful transition to the cloud depends on recognizing that security thinking must migrate before applications do. Without this strategic discipline, modernization efforts remain fragile, merely transporting old vulnerabilities into a faster, more exposed environment.

Secure Digital Enterprise Architecture: Designing Resilient Integration Frameworks For Cloud-Native Companies

In "Designing Resilient Integration Frameworks For Cloud-Native Companies," the Forbes Technology Council highlights the evolution of enterprise architecture from mere connectivity to a strategic pillar for complex digital ecosystems. Modern organizations function as interconnected networks involving ERP systems, cloud platforms, and AI applications, necessitating a shift toward secure digital enterprise architecture that governs information movement across the entire enterprise. The article argues that integration frameworks must prioritize security-by-design rather than treating it as an afterthought. This involves implementing zero-trust principles, identity management, and encrypted communication protocols. Furthermore, centralized API governance is essential to maintain control and monitor system interactions effectively. To prevent operational instability, architects must ensure data integrity through clear ownership rules and validation processes. Resilience is another cornerstone, achieved through asynchronous messaging and event-driven patterns that allow the ecosystem to absorb disruptions without total failure. Ultimately, as cloud-native environments grow in complexity, the enterprise architect’s role becomes pivotal in balancing innovation with security and stability. By establishing structured integration models, organizations can scale effectively while safeguarding their digital assets and operational reliability in an increasingly distributed landscape.

AI agent intent is a starting point, not a security strategy

In this Help Net Security feature, Itamar Apelblat, CEO of Token Security, addresses the critical security vulnerabilities emerging from the rapid adoption of . Research reveals a startling governance gap: 65.4% of agentic chatbots remain dormant after creation yet retain active access credentials, functioning essentially as high-risk orphaned service accounts. Apelblat notes that organizations frequently treat these agents as disposable experiments rather than governed identities, leading to a proliferation of standing privileges that bypass traditional security oversight. Furthermore, the report highlights that 51% of external actions rely on insecure hard-coded credentials instead of robust OAuth protocols, often because business users prioritize speed over identity hygiene. This systemic negligence is compounded by the fact that 81% of cloud-deployed agents operate on self-managed frameworks, distancing them from centralized corporate security controls. Apelblat emphasizes that relying on "agent intent" is insufficient for a comprehensive security strategy. Instead, intent must be operationalized into enforceable policies that can withstand malicious prompts or unexpected user interactions. To mitigate these risks, security teams must move beyond mere discovery to implement rigorous identity governance, ensuring that an agent’s access does not outlive its legitimate purpose or turn into a silent gateway for sophisticated cyber threats.

Malware Threats Accelerate Across Critical Infrastructure

The rapid convergence of Information Technology (IT) and Operational Technology (OT) is exposing critical infrastructure to unprecedented malware threats, as highlighted by a recent Comparitech report. Industrial Control Systems (ICS), which manage essential services like power grids, water treatment, and transportation, are increasingly being targeted due to their newfound internet connectivity. These systems often rely on legacy protocols such as Modbus, which were designed for isolated environments and lack modern security features like encryption. Consequently, vulnerability disclosures for ICS doubled between 2024 and 2025. The report identifies significant exposure in countries like the United States, Sweden, and Turkey, with real-world consequences already being felt, such as the FrostyGoop attack that disrupted heating for hundreds of residents in Ukraine. Unlike traditional IT security, protecting infrastructure is complicated by the need for continuous uptime and the long lifespans of industrial hardware. Experts warn that we have entered an "Era of Adoption" where sophisticated digital weapons are routinely deployed by nation-state actors. To mitigate these risks, organizations must move beyond opportunistic defense strategies, prioritizing network segmentation, reducing public internet exposure, and maintaining strict control over environments to prevent catastrophic kinetic damage to society.

Shrinking the IAM Attack Surface through Identity Visibility and Intelligence Platforms

The article highlights the critical challenges of modern enterprise identity management, which has reached a breaking point due to extreme fragmentation. As organizations scale, a significant portion of identity activity—estimated at 46%—operates as "" outside the visibility of centralized Identity and Access Management (IAM) systems. This hidden layer includes unmanaged applications, local accounts, and over-permissioned non-human identities, all of which are exacerbated by the rise of Agentic AI. To address this widening security gap, the article introduces the category of Identity Visibility and Intelligence Platforms (IVIP). These platforms provide a necessary observability layer that discovers the full application estate and unifies fragmented data into a consistent operational picture. By leveraging automated remediation, real-time signal sharing, and intent-based intelligence through large language models, IVIPs move organizations from a posture of configuration-based assumptions to evidence-driven intelligence. Data shows that up to 40% of all accounts are orphaned, a risk that IVIPs can mitigate by observing actual identity behavior. Ultimately, implementing identity observability allows security teams to shrink their attack surface, improve audit efficiency, and govern the complex "dark matter" where modern attackers frequently hide, ensuring that access remains visible and controlled across the entire environment.

War is forcing banks toward continuous scenario planning

The article highlights how intensifying global conflicts are compelling financial institutions to transition from traditional, calendar-based budgeting to continuous scenario planning. In an era where war acts as a live operating variable, static annual or quarterly reviews are increasingly dangerous, as they fail to absorb rapid shifts in energy prices, inflation, and sanctions. Regulators like the European Central Bank are now demanding that banks prove their dynamic resilience through rigorous geopolitical stress tests, emphasizing that the exception is now the norm. These conflicts trigger complex chain reactions, impacting everything from credit quality in energy-intensive sectors to the operational integrity of cross-border payment corridors. Consequently, the mandate for Chief Information Officers is evolving; they must now bridge fragmented data silos to create integrated environments capable of real-time consequence modeling. By shifting to a trigger-based cadence, leadership can make explicit tradeoffs—deciding what to protect, accelerate, or stop—based on actual arithmetic rather than outdated assumptions. This strategic pivot ensures that banks move from simply narrating uncertainty to actively managing it with specific, data-driven choices. Ultimately, survival in this fragmented global order depends on decision speed and the ability to prioritize under pressure, ensuring that planning remains a repeatable discipline that moves as quickly as the geopolitical landscape itself.

Why Queues Don’t Fix Scaling Problems

The article "Queues Don't Absorb Load, They Delay Bankruptcy" argues that while queues effectively smooth out transient traffic spikes, they are not a substitute for true system scaling during sustained overloads. Many architects mistakenly treat queues as magical buffers, but if the incoming message rate consistently exceeds consumer throughput, a queue merely masks the underlying capacity deficit until it metastasizes into a reliability catastrophe. This "bankruptcy" occurs when queues hit hard limits—such as memory exhaustion or cloud provider constraints—leading to cascading failures, message loss, and service-wide instability. To avoid this death spiral, the author emphasizes the necessity of implementing explicit backpressure mechanisms, such as bounded queues and circuit breakers, which force the system to fail fast and honestly. Crucially, engineers must prioritize monitoring consumer lag rather than just queue depth, as lag indicates whether the system is gaining or losing ground in real-time. Ultimately, queues should be viewed as tools for asynchronous processing and decoupling, not as a fix for insufficient capacity. Resilience requires proactive strategies like horizontal scaling, rate limiting, and graceful degradation to ensure that systems remain stable under pressure rather than silently accumulating technical debt that eventually topples the entire infrastructure.

Daily Tech Digest - March 04, 2026

Quote for the day:

“The secret to success is good leadership, and good leadership is all about making the lives of your team members or workers better." -- Tony Dungy

Composable infrastructure and build-to-fit IT: From standard stacks to policy-defined intent

Fixed stacks turn into friction. They are either too heavy for small workloads or too rigid for fast-changing ones. Teams start to fork the standard build “just this once,” and suddenly the exception becomes the default. That is how sprawl begins. Composable infrastructure is the most practical way I have found to break that cycle, but only if we stop defining “composable” as modular hardware. The differentiator is not the pool of compute, storage or fabric. The differentiator is the control plane: The policy, automation and governance that make composition safe, repeatable and reversible. ... The moment you move from “stacks” to “building blocks,” the control plane becomes the product you operate. At a minimum, I expect the control plane to do the following: Translate intent into infrastructure using declarative definitions (infrastructure as code) and reusable compositions; Enforce policy as code consistently across pipelines and runtime; Prevent drift and continuously reconcile desired state; ... The “sprawl prevention” mechanisms that matter: Every composed environment has a time-to-live by default. If it is not renewed by policy, it is retired automatically; Policies require standard tags (application, owner, cost center, data classification). If tags are missing, provisioning fails early; Network exposure is deny-by-default. Public endpoints require explicit approval paths and documented intent;

Why workforce identity is still a vulnerability, and what to do about it

Workforce identity is strongest at the moment of proofing. The risk isn’t usually malicious insiders slipping through onboarding. It’s what happens when verified identity is decoupled from account creation, daily access, and recovery. Manual handoffs are a common culprit. Identity is verified in one system, then an account is provisioned in another, often with human intervention in between. Temporary passwords are issued. Activation links are sent by email. Credentials are reset by help desk staff relying on judgment instead of evidence. ... If there is a single place where workforce identity collapses most consistently, it’s account recovery. Password resets, MFA re-enrollment, and help desk changes are designed to restore access quickly. In practice, they often bypass the very controls organizations rely on elsewhere. Knowledge-based questions, email verification, and voice-only confirmation remain common, even as attackers automate social engineering at scale. Help desk staff are placed in an impossible position. They are expected to verify identity without reliable evidence, under pressure to resolve issues quickly, using channels that are increasingly easy to spoof. ... Workforce identity assurance should begin with strong proofing, but it can’t stop there. Organizations need to deliberately preserve and periodically revalidate trust at key moments in the identity lifecycle, such as account creation, privilege changes, device enrollment, and recovery.

Microsoft: Hackers abuse OAuth error flows to spread malware

In the campaigns observed by Microsoft, the attackers create malicious OAuth applications in a tenant they control and configure them with a redirect URI pointing to their infrastructure. ... The researchers say that even if the URLs for Entra ID look like legitimate authorization requests, the endpoint is invoked with parameters for silent authentication without an interactive login and an invalid scope that triggers authentication errors. This forces the identity provider to redirect users to the redirect URI configured by the attacker. In some cases, the victims are redirected to phishing pages powered by attacker-in-the-middle frameworks such as EvilProxy, which can intercept valid session cookies to bypass multi-factor authentication (MFA) protections. Microsoft found that the ‘state’ parameter was misused to auto-fill the victim’s email address in the credentials box on the phishing page, increasing the perceived sense of legitimacy. ... Microsoft suggests that organizations should tighten permissions for OAuth applications, enforce strong identity protections and Conditional Access policies, and use cross-domain detection across email, identity, and endpoints. The company highlights that the observed attacks are identity-based threats that abuse an intended behavior in the OAuth framework that behaves as specified by the standard defining how authorization errors are managed through redirects.

Designing infrastructure for AI that actually works

Running AI at scale has real consequences for the systems underneath. The hardware is different, the density is higher, the heat output is significant, and power consumption is a more critical consideration than ever before. This affects everything from rack layouts to grid demand. ... Many AI workloads perform better when they are run locally. Inference applications, like real-time fraud detection, conversational interfaces, and live monitoring, benefit from lower latency and greater data control. This is driving demand for edge computing data centres that can operate independently, handle dense processing loads, and integrate into wider enterprise systems without excessive complexity. ... no template can replace a clear understanding of the use case. The type of model, the data sources, and the required response time, all shape what the critical digital infrastructure needs to deliver. Infrastructure leaders should be involved early in AI planning conversations. Their input can reduce rework, manage costs, and help the organisation avoid disruption from systems that fail under load. Sustainability is no longer optional As AI drives up energy use, scrutiny will follow. Efficiency targets are constantly being tightened across Europe, with new benchmarks being introduced for both new and existing data centre facilities. Regulators want to see measurable improvement, not just strategy slides. ... The organisations that succeed with AI at scale are often the ones that treat infrastructure as a first-order concern.

Context Engineering is the Key to Unlocking AI Agents in DevOps

Context engineering represents an architectural shift from viewing prompts as static strings to treating context as a dynamic, managed resource. This discipline encompasses three core competencies that separate production-grade agents from experimental toys. ... Structured Memory Architectures implement the 12-Factor Agent principles: semantic memory for infrastructure facts, episodic memory for past incident patterns, and procedural memory for runbook execution. Rather than maintaining monolithic conversation histories, production agents externalize state to vector stores and structured databases, injecting only necessary context at each decision point. ... Organizations transitioning to context-engineered agents should begin with observability. Instrument existing agents to track context growth patterns, identifying which tool calls generate bloated outputs and which historical contexts prove irrelevant. This data drives selective context strategies. Next, implement external memory architectures. Vector databases like Pinecone or Weaviate store semantic infrastructure knowledge; graph databases maintain dependency relationships; time-series databases track operational history. Agents query these systems contextually rather than maintaining monolithic state. Finally, adopt MCP incrementally. Start with non-critical internal tools, exposing them through MCP servers to establish patterns for authentication, context isolation, and monitoring.

LLMs can unmask pseudonymous users at scale with surprising accuracy

The findings have the potential to upend pseudonymity, an imperfect but often sufficient privacy measure used by many people to post queries and participate in sometimes sensitive public discussions while making it hard for others to positively identify the speakers. The ability to cheaply and quickly identify the people behind such obscured accounts opens them up to doxxing, stalking, and the assembly of detailed marketing profiles that track where speakers live, what they do for a living, and other personal information. This pseudonymity measure no longer holds. ... Unlike those older pseudonymity-stripping methods, Lermen said, AI agents can browse the web and interact with it in many of the same ways humans do. They can use simulated reasoning to match potential individuals. In one experiment, the researchers looked at responses given in a questionnaire Anthropic took about how various people use AI in their daily lives. Using the information taken from answers, the researchers were able to positively identify 7 percent of 125 participants. ... If LLMs’ success in deanonymizing people improves, the researchers warn, governments could use the techniques to unmask online critics, corporations could assemble customer profiles for “hyper-targeted advertising,” and attackers could build profiles of targets at scale to launch highly personalized social engineering scams.

What is digital employee experience — and why is it more important than ever?

Digital employee experience is a measure of how workers perceive and interact with the many digital tools and services they use in the workplace. It examines how employees feel about these technologies, including systems, software, and devices. Enterprises can deploy a DEX strategy that focuses on tracking, assessing, and improving employees’ technology experience, with the aim of increasing productivity and worker satisfaction. ... “DEX matters because the workplace is primarily digital for most employees, and friction creates compounding impact,” says Dan Wilson, vice president and research analyst, digital workplace, at research firm Gartner. Digital friction, not technology outages, has become the primary employee problem to manage, Wilson says. Brought on by fragmented technology deployments, inconsistent workflows, and other factors, “friction accumulates when employees can’t find information, miss updates, or work without context,” he says. ... “Most digital friction is invisible to IT because employees adapt instead of escalating,” Wilson says. “Friction accumulates across devices, apps, identity, workflows, and support, not in silos. These are not necessarily new issues, but the impact on the workforce increases as employees are increasingly dependent on technology to perform their work tasks.” ... While DEX tools can safely be used by non-IT teams, and some leading organizations do this, it’s not yet a common practice due to “limited IT maturity and collaboration” with the technology, Wilson says.

From 20 Lives an Hour to Zero: Can AI Power India’s Road Safety Reset?

India has made a clear and ambitious commitment. Under the Stockholm Declaration, the country aims to reduce road accident fatalities by 50% by 2030. But the numbers remind us how urgent this mission is. ... From a tech lens, the missing piece on the ground is continuous risk detection with immediate correction, at scale. Think of it like this, if the only time a driver feels the consequence of risk is at a checkpoint, behaviour changes briefly. When the “nudge” happens during the risky moment, exactly when speed crosses a certain threshold, or when the driver gets distracted, or when the following distance collapses, the behaviour of the driver changes more consistently because the driver can self-correct in the exact moment. Hence, the conversation has been shifting from “recordings & post analysis” to “faster, real-time and in-cab alerts” and a coaching loop that is actually sustainable. ... Most serious incidents don’t come out of nowhere. They come from a few ordinary seconds where risk stacks up, like a closing gap, a brief glance away, or fatigue building near the end of a shift. If you only sample driving periodically, you miss those sequences. If you only rely on post-trip analytics, you learn what happened after the fact, when the driver no longer has a chance to correct that moment. That is why analysing 100% of driving time matters. It captures what led up to risk, how often it repeats, and under what conditions it shows up.

Europe’s data center market booms: is it ready to take on the US?

If Europe wants technology to be a success for European companies, the capital must also come from Europe. The fact is that investors in America are generally able and willing to take significantly more risk than investors in Europe. Winterson is well aware of this, of course. He does believe that there are currently more “Europeans who want technology that helps Europeans become better at what they do.” ... Technological services are highly fragmented within Europe, and there is also a lack of a capital market of any substance. Finally, according to the report, there is no competitive energy market. These were and are issues that had to be resolved before more investment could come in. According to Winterson, the European Commission is now working quickly to resolve these issues. In his opinion, this is never fast enough, but the discussion surrounding sovereignty and dependence on technology from other parts of the world is certainly accelerating this process. ... It seems certain to us that data center capacity will increase significantly in the coming years. However, the question remains whether we in Europe can keep up with other parts of the world, particularly America. Winterson readily admits that investments from that corner in Europe will not decline very quickly. Based on the current distribution, we estimate that this would not be desirable either. It would leave a considerable gap.

Epic Fury introduces new layer of enterprise risk

Enterprise emergency action groups should already be validating assumptions and aligning organizational plans as conditions evolve. Today, however, that work becomes mandatory. This is a posture adjustment moment for all organizations that could be impacted by Operation Epic Fury and Iran’s response, not a wait and see moment. ... In post‑incident reviews, the pattern is consistent: Once tensions rise or conflict begins, civil aviation and maritime logistics become targeted, high‑impact levers for creating economic and political pressure. They are symbolic, visible, and deeply tied to global business operations. Any itinerary that transits the Gulf or relies on regional airspace or shipping lanes carries elevated risk. ... Iran’s cyber capability is not speculative; it is documented across years of joint advisories from CISA, FBI, NSA, and their international partners. Iranian state‑aligned actors routinely target poorly secured networks, internet‑connected devices, and critical infrastructure, often exploiting edge appliances, outdated software, and weak credentials. They have conducted disruptive operations against operational technology (OT) devices and have collaborated with ransomware affiliates to turn initial access into revenue or leverage. ... The practical point is simple: Iran’s cyber activity accelerates during periods of geopolitical tension, and enterprises with exposed services, unpatched infrastructure, or unmanaged edge devices become part of the accessible attack surface.

Daily Tech Digest - January 31, 2026

Quote for the day:

"The most difficult thing is the decision to act, the rest is merely tenacity." -- Amelia Earhart

Security work keeps expanding, even with AI in the mix

Teams with established policies report greater confidence that AI outputs pass through review steps or guardrails before influencing decisions. Governance work spans data handling, access management, auditability, and lifecycle oversight for AI models and integrations. Security and compliance considerations also affect how quickly teams operationalize automation. Concerns around data protection, regulatory obligations, tool integration, and staff readiness continue to influence adoption patterns. Budget limits and legacy systems remain common constraints, reinforcing the need for governance structures that support day-to-day execution. ... Teams managing large tool inventories report higher strain, particularly when workflows require frequent context switching. Leaders increasingly view automation and tooling improvements as key levers for retaining staff. Practitioners consistently place work-life balance and meaningful impact at the center of retention decisions. ... Many teams express interest in workflow platforms that connect automation, AI, and human review within a single operational layer. These approaches focus on moving work across systems without constant manual handoffs. Respondents associate connected workflows with higher productivity, faster response times, improved data accuracy, and stronger compliance tracking. Interoperability also plays a growing role. Security teams increasingly consider standardized frameworks and APIs that allow AI systems to interact with tools under controlled conditions.

Human risk management: CISOs’ solution to the security awareness training paradox

Despite regulatory compliance requirements and significant investment, SAT seems to deliver marginal benefits. Clearly, SAT is broken — even with peripheral improvements like synthetic phishing tools. So, what’s needed? Over the next few years, organizations should shift from static/sporadic security training to an emerging discipline called human risk management (HRM). ... HRM is defined as a cybersecurity strategy that identifies, measures, and reduces the risks caused by human behavior. Simply stated, security awareness training is about what employees know; HRM is about what they do. To be more specific, HRM integrates into email security tools, web gateways, and identity and access management (IAM) systems to identify human vulnerabilities. Furthermore, it measures risk using behavioral data and pinpoints an organization’s riskiest users. HRM then seeks to mitigate these risks by applying targeted interventions such as micro-learning, simulations, or automated security controls. Finally, HRM monitors behavioral changes so organizations can track progress. ... From an ROI perspective, HRM offers a much more granular approach to cyber-risk mitigation than standard SAT. CISOs and HR managers can report on improved cyber hygiene and behavior, rather than how many employees have been trained and past generic tests. Repeat offenders are not only identified but also provided with personalized training tools and attention. Ultimately, HRM makes it possible to show a direct correlation between training and a reduction in actual security incidents. ...

The Human Exploit: Why Wizer Is the Secret Weapon in the War for Your Digital Soul

We are currently witnessing a systemic failure in how we prepare people for a digital world. From the moment a child gets their first school-issued tablet to the day a retiree checks their pension balance, every individual is a target. This isn’t just a corporate problem; it’s a societal one. That is why I’ve been following the rise of Wizer, a firm that has cracked the code on making security training not just tolerable, but actually effective. ... It is no coincidence that the financial industry has become Wizer’s most aggressive adopter. In banking, trust is the only product you’re actually selling. If a customer’s account is drained because an employee fell for a “vishing” attack—where a hacker samples an IT person’s voice from a voicemail to impersonate them—the damage to the brand is catastrophic. Financial institutions are currently the biggest fans of the platform because they operate under a microscope of regulation and extreme risk. They realized early on that a 45-minute annual compliance video is a waste of time. Wizer’s approach is different; it feels more like an app—specifically Duolingo—than a corporate lecture. ... One of the most profound insights Gabriel Friedlander brings to the table is the necessity of the “Security Awareness Manager” (SAM). Historically, security training was a secondary task for a stressed-out IT admin who would rather be configuring a server. That is a recipe for failure. To build a true culture of security, you need a dedicated facilitator.

Chinese APTs Hacking Asian Orgs With High-End Malware

A pile of evidence suggests that this campaign was carried out by a Chinese APT, but exactly which is unclear. Chinese threat actors are notorious for sharing tools, techniques, and infrastructure. Trend Micro found that this one — which it currently tracks as Shadow-Void-044 — used a C2 domain previously used by UNC3569. A Cobalt Strike sample on one of its servers was signed with a stolen certificate also spotted in a Bronze University campaign. And they linked one of its backdoors to a backdoor developed by a group called "TheWizards," not to be confused with the equally maligned basketball team. A second, separate threat actor has also been using PeckBirdy since at least July 2024. With low confidence, Trend Micro's report linked the group it labeled Shadow-Earth-045 to the one it tracks as Earth Baxia. This campaign was more diverse in its methods, and its targeting, involving both Asian private organizations and government entities. Chinese APTs habitually perform cyberespionage against government agencies in the APAC region and beyond. Trend Micro tells Dark Reading, "These two campaigns remind us that the boundary between cybercrime and cyberespionage is increasingly blurred. One tool used in different [kinds of] attacks is [becoming] more and more popular."

AI agent evaluations: The hidden cost of deployment

Agent evals can be complicated because they test for several possible metrics, including agent reasoning, execution, data leakage, response tone, privacy, and even moral alignment, according to AI experts. ... Most IT leaders budget for obvious costs — including compute time, API calls, and engineering hours — but miss the cost of human judgment in defining what Ferguson calls the “ground truth.” “When evaluating whether an agent properly handled a customer query or drafted an appropriate response, you need domain experts to manually grade outputs and achieve consensus on what ‘correct’ looks like,” he adds. “This human calibration layer is expensive and often overlooked.” ... The sticker shock of agent evals rarely comes from the compute costs of the agent itself, but from the “non-deterministic multiplier” of testing, adds Chengyu “Cay” Zhang, founding software engineer at voice AI vendor Redcar.ai. He compares training agents to training new employees, with both having moods. “You can’t just test a prompt once; you have to test it 50 times across different scenarios to see if the agent holds up or if it hallucinates,” he says. “Every time you tweak a prompt or swap a model, you aren’t just running one test; you’re rerunning thousands of simulations.” ... If an organization wants to save money, the better alternative is to narrow the agent’s scope, instead of cutting back on testing, Zhang adds. “If you skip the expensive steps — like human review or red-teaming — you’re relying entirely on probability,” he says.

Social Engineering Hackers Target Okta Single Sign On

What makes these attacks unusual is how criminals engage in real-time conversations as part of their trickery, using the latest generation of highly automated phishing toolkits, which enable them to redirect users to real-looking log-in screens as part of a highly orchestrated attack. "This isn't a standard automated spray-and-pray attack; it is a human-led, high-interaction voice phishing - 'vishing' - operation designed to bypass even hardened multifactor authentication setups," said threat intelligence firm Silent Push. The "live phishing panel" tools being used enable "a human attacker to sit in the middle of a login session, intercepting credentials and MFA tokens in real time to gain immediate, persistent access to corporate dashboards," it said. Callers appear to be using scripts designed to walk victims through an attacker-designated list of desired actions. ... At least so far, the campaign appears to center only on Okta-using organizations. ShinyHunters and similar groups have previously targeted a variety of SSO providers, meaning hackers' focus may well expand, Pilling said. The single best defense against live phishing attacks that don't exploit any flaws or vulnerabilities in vendors' software, is strong MFA. "We strongly recommend moving toward phishing-resistant MFA, such as FIDO2 security keys or passkeys where possible, as these protections are resistant to social engineering attacks in ways that push-based or SMS authentication are not," Mandiant's Carmakal said.

AI agents can talk to each other — they just can't think together yet

Current protocols handle the mechanics of agent communication — MCP, A2A, and Outshift's AGNTCY, which it donated to the Linux Foundation, let agents discover tools and exchange messages. But these operate at what Pandey calls the "connectivity and identification layer." They handle syntax, not semantics. The missing piece is shared context and intent. An agent completing a task knows what it's doing and why, but that reasoning isn't transmitted when it hands off to another agent. Each agent interprets goals independently, which means coordination requires constant clarification and learned insights stay siloed. For agents to move from communication to collaboration, they need to share three things, according to Outshift: pattern recognition across datasets, causal relationships between actions, and explicit goal states. "Without shared intent and shared context, AI agents remain semantically isolated. They are capable individually, but goals get interpreted differently; coordination burns cycles, and nothing compounds. One agent learns something valuable, but the rest of the multi-agent-human organization still starts from scratch," Outshift said in a paper. Outshift said the industry needs "open, interoperable, enterprise-grade agentic systems that semantically collaborate" and proposes a new architecture it calls the "Internet of Cognition," where multi-agent environments work within a shared system.

Building Software Organisations Where People Can Thrive

Trust builds over time through small interactions. When people know what to expect and how to interact with each other in tough moments, trust is formed, Card argued. Once trust is embedded, teams are more likely to take risks by putting themselves out there to be wrong and fail fast, and that is where the magic happens. You need to actively address bias and microaggressions. If left unchallenged, they quietly erode trust and belonging. Being proactive, fair, and consistent in addressing these behaviours signals your values clearly to the wider organisation, Card said. At the heart of it all is the belief that people-first leadership is performance leadership, Card said. When we take the time to build inclusive, resilient cultures, success follows, not just for the business, but for everyone within it, he concluded. ... psychological safety is the next level up from a trusting environment. Both are the foundations of any healthy, high-performing culture. Without them, people hold back; they’re less likely to share ideas, admit mistakes, or challenge the status quo. And that means your team won’t grow, innovate, or build strong relationships. If you want to build a culture that lasts, where people thrive, not just survive, then building trust and safety isn’t optional. It has to be intentional. And once it’s in place, it unlocks everything else: collaboration, resilience, accountability, and growth.

Stop Delivering Change, Start Designing a Business That Can Actually Grow

Legacy and emerging technologies sit side by side, often competing for attention and investment. Manual and systemised processes overlap in ways that only make sense to the people living inside them. Long-standing roles carry deep, tacit knowledge, while new-in-career roles arrive with different expectations, skills, and assumptions about how work should flow. Each layer is changing, but rarely in a deliberate, joined-up way. When leaders do not have a shared, design-level understanding of how these layers interact, decisions are made in isolation. ... Programme milestones become a proxy for progress. Technology capability becomes a proxy for readiness. Productivity targets replace understanding. Designing the next-generation business model requires a different kind of insight—one that shows how people, process, data, and technology interact end to end. One that makes visible where human judgement still matters, where automation genuinely adds value, and where the handoffs between the two are quietly breaking down. ... Growth and productivity are not things you add through execution. They are the result of deliberate design choices. A business model fit for today makes explicit decisions about what is standardised and what is differentiated, what is automated and what is augmented, what relies on experience and what demands new capability. Those decisions cannot be delegated to programmes alone. They sit squarely with leadership.

Beyond Human-in-the-Loop: Why Data Governance Must Be a System’s Property

The reliance on human action creates a false sense of control; although governance artifacts do exist, responsibility for accountability exists outside the formal governance system and is therefore difficult to enforce. ... The dominant structures of governance today represent a human-in-the-loop system model. In a human-in-the-loop model, technology is used primarily to automate the completion or execution of specific tasks, such as the movement of data between systems, checking the validity of data between systems, and enhancing data that has been provided or created by other systems. The responsibility for the outcome of an automated governance system is not part of the automated system itself. Therefore, humans have the ability to resolve disputes between systems, approve any exceptions made by systems, and determine what is true when using different systems produces different conclusions. ... As data ecosystems continue to expand, we see recurring patterns of failure emerge. As a result, stewardship teams tend to create bottlenecks in their processes, as the volumes of existing exceptions continue to grow much faster than the capability to resolve those exceptions. The presence of escalation paths creates delays in decision-making processes, leading to inconsistencies in the products or services being delivered. Over time, informal methods of addressing issues become accepted as standard operating procedures. Controls within the organization are bypassed in an effort to deliver projects on time.

Daily Tech Digest - January 22, 2026

Quote for the day:

"Lost money can be found. Lost time is lost forever. Protect what matters most." -- @ValaAfshar

PTP is the New NTP: How Data Centers Are Achieving Real-Time Precision

Precision Time Protocol (PTP) – an approach that is more complex to implement but worth the extra effort, enabling a whole new level of timing synchronization accuracy. ... Keeping network time in sync is important on any network. But it’s especially critical in data centers, which are typically home to large numbers of network-connected devices, and where small inconsistencies in network timing could snowball into major network synchronization problems. ... NTP works very well in situations where networks can tolerate timing inconsistencies of up to a few milliseconds (meaning thousandths of a second). But beyond this, NTP-based time syncing is less reliable due to limitations ... Unlike NTP, PTP doesn’t rely solely on a server-client model for syncing time across networked devices. Instead, it uses time servers in conjunction with a method called hardware timestamping on client devices. Hardware timestamping involves specialized hardware components, usually embedded in network interface cards (), to track time. Central time servers still exist under PTP. But rather than having software on servers connect to the time servers, hardware devices optimized for the task do this work. The devices also include built-in clocks, allowing them to record time data faster than they could if they had to forward it to the generic clock on a server.

Why AI adoption requires a dedicated approach to cyber governance

Today enterprises are facing unprecedented internal pressure to adopt AI tools at speed. Business units are demanding AI solutions to remain competitive, drive efficiency, and innovate faster. But existing cyber governance and third-party risk management processes were never designed to operate at this pace. ... Without modernized cyber governance and AI-ready risk management capabilities, organizations are forced to choose between speed and safety. To truly enable the business, governance frameworks must evolve to match the speed, scale, and dynamism of AI adoption – transforming security from a gatekeeper into a business enabler. ... What’s more, compliance doesn’t guarantee security. , , and other regulatory frameworks set only minimum requirements and rely on reporting at specific points in time. While these reports are accurate when submitted, they capture only a snapshot of the organization’s security posture, so gaps such as human errors, legacy system weaknesses, or risks from fourth- and Nth-party vendors can still emerge afterward. What’s more, human weakness is always present, and legacy systems can fail at crucial moments. ... While there’s no magic wand, there are tried-and-tested approaches that resolve and mitigate the risks of AI vendors and solutions. Mapping the flow of data around the organization helps reveal how it’s used and resolve blind spots. Requiring AI tools to include references for their outputs ensures that risk decisions are trustworthy and reliable.

What CIOs get wrong about integration strategy and how to fix it

As advises, business and IT should be equal partners in the definition of integration strategy, representing a radical departure from the traditional IT delivery and business “project sponsorship” model. This close collaboration and shared accountability result in dramatically higher success rates ... A successful integration strategy starts by aligning with the organization’s business drivers and strategic objectives while identifying the integration capabilities that need to be developed. Clearly defining the goals of technology implementation, establishing governance frameworks and decision-making authority and setting standards and principles to guide integration choices are essential. Success metrics should be tied to business outcomes, and the integration approach should support broader digital transformation initiatives. ... Create cross-functional data stewardship teams with authority to make binding decisions about data standards and quality requirements. Document what data needs to be shared between systems, which applications are the “source of truth.” Define and document any regulatory or performance requirements to guide your technical planning. ... Integrations that succeed in production are designed with clear system-of-record rules, traceable transactions, explicit recovery paths and well-defined operational ownership. Preemptive integration is not about reacting faster — it’s about ensuring failures never reach the business.

CFOs are now getting their own 'vibe coding' moment thanks to Datarails

For the modern CFO, the hardest part of the job often isn't the math—it's the storytelling. After the books are closed and the variances calculated, finance teams spend days, sometimes weeks, manually copy-pasting charts into PowerPoint slides to explain why the numbers moved. ... Datarails’ new agents sit on top of a unified data layer that connects these disparate systems. Because the AI is grounded in the company’s own unified internal data, it avoids the hallucinations common in generic while offering a level of privacy required for sensitive financial data. "If the CFO wants to leverage AI on the CFO level or the organization data, they need to consolidate the data," explained Datarails CEO and co-founder in an interview with . By solving that consolidation problem first, Datarails can now offer agents that understand the context of the business. "Now the CFO can use our agents to run analysis, get insights, create reports... because now the data is ready," Gurfinkel said. ... "Very soon, the CFO and the financial team themselves will be able to develop applications," Gurfinkel predicted. "The LLMs become so strong that in one prompt, they can replace full product runs." He described a workflow where a user could simply prompt: "That was my budget and my actual of the past year. Now build me the budget for the next year."

The internet’s oldest trust mechanism is still one of its weakest links

Attackers continue to rely on domain names as an entry point into enterprise systems. A finds that large organizations leave this part of their attack surface underprotected, even as attacks become more frequent. ... Large companies continue to add baseline protections, though adoption remains uneven. Email authentication shows the most consistent improvement, driven by phishing activity and regulatory pressure. Organizations still leave email domains partially protected, which allows spoofing to persist. Other protections see much slower uptake. ... Consumer oriented registrars tend to emphasize simplicity and cost. Organizations that rely on them often lack access to protections that limit the impact of account compromise or social engineering. Risk increases as domain portfolios grow and change. ... Brand impersonation through domain spoofing remains widespread. tied to major brands are often owned by third parties. Some appear inactive while still supporting email activity. Inactive domains with mail records allow attackers to send phishing messages that appear associated with trusted brands. Others are parked with advertising networks or held for later use. A smaller portion hosts malicious content, though dormant domains can be activated quickly. ... Gaps appear in infrastructure related areas. DNS redundancy and registry lock adoption lag, and many unicorns rely on consumer grade registrars. These limitations become more pronounced as operations scale.

Misconfigured demo environments are turning into cloud backdoors to the enterprise

Internal testing, product demonstrations, and security training are critical practices in cybersecurity, giving defenders and everyday users the tools and wherewithal to prevent and respond to enterprise threats. However, according to new research from , when left in default or misconfigured states, these “test” and “demo” environments are yet another entry point for attackers — and the issue even affects leading security companies and Fortune 500 companies that should know better. ... After identifying an exposed instance of , a free, intentionally vulnerable test site developed by , during a routine cloud security assessment for a client, Yaffe performed a five-step hunt for exposed apps. His team uncovered 1,926 “verified, live, and vulnerable applications,” more than half of which were running on enterprise-owned infrastructure on . They then discovered 109 exposed credential sets, many accessible via a low-priority lab environment, tied to overly-privileged identity access management (IAM) roles. These often granted “far more access” than a ‘training’ app should, Yaffe explained, and provided attackers:Administrator-level access to cloud accounts, as well as full access to S3 buckets, GCS, and Azure Blob Storage; The ability to launch and destruct compute resources and read and write to secrets managers; Permissions to interact with container registries where images are stored, shared, and deployed.

Cyber Insights 2026: API Security – Harder to Secure, Impossible to Ignore

“We’re now entering a new API boom. The previous wave was driven by cloud adoption, mobile apps, and microservices. Now, the rise of AI agents is fueling a rapid proliferation of APIs, as these systems generate massive, dynamic, and unpredictable requests across enterprise applications and cloud services,” comments ... The growing use of agentic AI systems and the way they act autonomously, making decisions and triggering workflows, is ballooning the number of APIs in play. “It isn’t just ‘I expose one billing API’,” he continues, “now there are dozens of APIs that feed data to LLMs or AI agents, accept decisions from AI agents, facilitate orchestration between services and micro-apps, and potentially expose ‘agentic’ endpoints ... APIs have been a major attack surface for years – the problem is ongoing. Starting in 2025 and accelerating through 2026 and beyond, the rapid escalation of enterprise agentic AI deployments will multiply the number of APIs and increase the attack surface. That alone suggests that attacks against APIs will grow in 2026. But the attacks themselves will scale and be more effective through adversaries’ use of their own agentic AI. Barr explains: “Agentic AI means that bad actors can automate reconnaissance, probe API endpoints, chain API calls, test business-logic abuse, and execute campaigns at machine scale. Possession of an API endpoint, particularly a self-service, unconstrained one, becomes a lucrative target. And AI can generate payloads, iterate quickly, bypass simple heuristics, and map dependencies between APIs.”

Complex VoidLink Linux Malware Created by AI

An advanced cloud-first malware framework targeting Linux systems was created almost entirely by artificial intelligence (AI), a move that signals significant evolution in the use of the technology to develop advanced malware. VoidLink — comprised of various cloud-focused capabilities and modules and designed to maintain long-term persistent access to Linux systems — is the first case of wholly original malware being developed by AI, according to , which discovered and detailed the malware framework last week. While other AI-generated malware exists, it's typically "been linked to inexperienced threat actors, as in the case of FunkSec, or to malware that largely mirrored the functionality of existing open-source malware tools," ... The malware framework, linked to a suspected, unspecified Chinese actor, includes custom loaders, implants, rootkits, and modular plug-ins. It also automates evasion as much as possible by profiling a Linux environment and intelligently choosing the best strategy for operating without detection. Indeed, as Check Point researchers tracked VoidLink in real time, they watched it transform quickly from what appeared to be a functional development build into a comprehensive, modular framework that became fully operational in a short timeframe. However, while the malware itself was high-functioning out of the gate, VoidLink's creator proved to be somewhat sloppy in their execution.

What’s causing the memory shortage?

Right now, the industry is suffering the worst memory shortage in history, and that’s with three core suppliers: . , a Taipei-based market researcher that specializes in the memory market, recently said it expects average memory prices to rise between 50% and 55% this quarter compared to the fourth quarter of 2025. Samsung recently issued a similar warning. So what caused this? Two letters: AI. The rush to build AI-oriented data centers has resulted in virtually all of the memory supply being consumed by data centers. AI requires massive amounts of memory to process its gigantic data sets. A traditional server would usually come with 32 GB to 64 GB of memory, while AI servers have 128 GB or more. ... There are other factors at play here, too, of course. The industry is in a transition period between and , as DDR5 comes online and DDR4 fades away. These transitions to a new memory format are never quick or easy, and it usually take years to make a full shift. There has also been increased demand from both client and server sides. With Microsoft ending support for , a whole lot of laptops are being replaced with systems, and new laptops come with DDR5 memory — the same memory used in an AI server. ... “What’s likely to happen, from a market perspective, is we’ll see the market grow less in ’26 than we had anticipated, but ASPs are likely to stay or increase. ...” he said.

OpenAI CFO Comments Signal End of AI Hype Cycle

By focusing on “practical adoption,” OpenAI can close the gap between what AI now makes possible and how people, companies, and countries are using it day to day. “The opportunity is large and immediate, especially in health, science, and enterprise, where better intelligence translates directly into better outcomes,” she noted. “Infrastructure expands what we can deliver,” she continued. “Innovation expands what intelligence can do. Adoption expands who can use it. Revenue funds the next leap. This is how intelligence scales and becomes a foundation for the global economy.” The framing reflects a shift from big-picture AI promise to day-to-day deployment and measurable results. ... There’s also a gap between what AI can do and how people are actually using it in daily life, noted , founder of , a content monetization platform for creators in . “AI tools are incredibly powerful, but for many people and businesses, it’s still unclear how to turn that power into something practical like saving time, making money, or improving how they work,” she told . In business, the gap lies between AI’s raw analytical capabilities and its ability to drive tangible, repeatable business outcomes, maintained ... “The winning play is less ‘AI that answers’ and more ‘AI that completes tasks safely and predictably,'” he continued. “Adoption happens when AI becomes part of the workflow, not a separate destination.”