Daily Tech Digest - February 05, 2026


Quote for the day:

"We don't grow when things are easy. We grow when we face challenges." -- Elizabeth McCormick



AI Rapidly Rendering Cyber Defenses Obsolete

“Most organizations still don’t have a complete inventory of where AI is running or what data it touches,” he continued. “We’re talking millions of unmanaged AI interactions and untold terabytes of potentially sensitive data flowing into systems that no one is monitoring. You don’t have to be a CISO to recognize the inherent risk in that.” “You’re ending up with AI everywhere and controls nowhere,” added Ryan McCurdy ... “The risk is not theoretical,” he declared. “When you can’t inventory where AI is running and what it’s touching, you can’t enforce policy or investigate incidents with confidence.” ... While AI security discussions often focus on hypothetical future threats, the report noted, Zscaler’s red team testing revealed a more immediate reality: when enterprise AI systems are tested under real adversarial conditions, they break almost immediately. “AI systems are compromised quickly because they rely on multiple permissions working together, whether those permissions are granted via service accounts or inherited from user-level access,” explained Sunil Gottumukkala ... “We’re seeing exposed model endpoints without proper authentication, prompt injection vulnerabilities, and insecure API integrations with excessive permissions,” he said. “Default configurations are being shipped straight to production. Ultimately, it’s a fresh new field, and everyone’s rushing to stake a claim, get their revenue up, and get to market fastest.”


Offensive Security: A Strategic Imperative for the Modern CISO

Rather than remaining in a reactive stance focused solely on known threats, modern CISOs are required to adopt a proactive and strategic approach. This evolution necessitates the integration of offensive security as an essential element of a comprehensive cybersecurity strategy, rather than viewing it as a specialized technical activity. Boards now expect CISOs to anticipate emerging threats, assess and quantify risks, and clearly demonstrate how security investments contribute to safeguarding revenue, reputation, and organizational resilience. ... Offensive security takes a different approach. Rather than simply responding to threats, it actively replicates real-world attacks to uncover vulnerabilities before cybercriminals exploit them. ... Offensive security is crucial for today’s CISOs, helping them go beyond checking boxes for compliance to actively discover, confirm, and measure security risks—such as financial loss, damage to reputation, and disruptions to operations. By mimicking actual cyberattacks, CISOs can turn technical vulnerabilities into business risks, allowing for smarter resource use, clearer communication with the board, and greater overall resilience. ... Chief Information Security Officers (CISOs) are frequently required to substantiate their budget requests with clear, empirical data. Offensive security plays a critical role in demonstrating whether security investments effectively mitigate risk. CISOs must provide evidence that tools, processes, and teams contribute measurable value.


Cyber Insights 2026: Cyberwar and Rising Nation State Threats

While both cyberwar and cyberwarfare will increase through 2026, cyberwarfare is likely to increase more dramatically. The difference between the two should not be gauged by damage, but by primary intent. This difference is important because criminal activity can harm a business or industry, while nation state activity can damage whole countries. It is the primary intent or motivation that separates the two. Cyberwar is primarily motivated by financial gain. Cyberwarfare is primarily motivated by political gain, which means it could be a nation or an ideologically motivated group. ... The ultimate purpose of nation state cyberwarfare is to prepare the battlefield for kinetic war. We saw this with increased Russian activity against Ukraine immediately before the 2022 invasion. Other nations are not yet (at least we hope not) generally using cyber to prepare the battlefield. But they are increasingly pre-positioning themselves within critical industries to be able to do so. This geopolitical incentive together with the cyberattack and cyber stealth capabilities afforded by advanced AI, suggests that nation state pre-positioning attacks will increase dramatically over the next few years. Pre-positioning is not new, but it will increase. ... “Geopolitics aside, we can expect acts of cyberwar to increase over the coming years in large part thanks to AI,” says Art Gilliand, CEO at Delinea. 


Cybersecurity planning keeps moving toward whole-of-society models

Private companies own and operate large portions of national digital infrastructure. Telecommunications networks, cloud services, energy grids, hospitals, and financial platforms all rely on private management. National strategies therefore emphasize sustained engagement with industry and civil society. Governments typically use consultations, working groups, and sector forums to incorporate operational input. These mechanisms support realistic policy design and encourage adoption across sectors. Incentives, guidance, and shared tooling frequently accompany regulatory requirements to support compliance. ... Interagency coordination remains a recurring focus. Ownership of objectives reduces duplication and supports faster response during incidents. National strategies frequently group objectives by responsible agency to support accountability and execution. International coordination also features prominently. Cyber threats cross borders with ease, leading governments to engage through bilateral agreements, regional partnerships, and multilateral forums. Shared standards, reporting practices, and norms of behavior support interoperability across jurisdictions. ... Security operations centers serve as focal points for detection and response. Metrics tied to detection and triage performance support accountability and operational maturity. 


Should I stay or should I go?

In the big picture, CISO roles are hard, and so the majority of CISOs switch jobs every two to three years or less. Lack of support from senior leadership and lack of budget commensurate with the organization’s size and industry are top reasons for this CISO churn, according to The life and times of cybersecurity professionals report from the ISSA. More specifically, CISOs leave on account of limited board engagement, high accountability with insufficient authority, executive misalignment, and ongoing barriers to implementing risk management and resilience, according to an ISSA spokesperson. ... A common red flag and reason CISO’s leave their jobs is because leadership is paying “lip service” to auditors, customers and competitors, says FinTech CISO Marius Poskus, a popular blogger on security leadership who posted an essay about resigning from “security‑theater roles.” ... the biggest red flag is when leadership pushes against your professional and personal ethics. For example, when a CEO or board wants to conceal compliance gaps, cover up reportable breaches, and refuse to sign off on responsibility for gaps and reporting failures they’ve been made aware of. ... “A lot of red flags have to do with lack of security culture or mismatch in understanding the risk tolerance of the company and what the actual risks are. This red flag goes beyond: If they don’t want to be questioned about what they’ve done so far, that is a huge red flag that they’re covering something up,” Kabir explains.


Preparing for the Unpredictable and Reshaping Disaster Recovery

When desktops live on physical devices alone, recovery can be slow. IT teams must reimage machines, restore applications, recover files, and verify security before employees can resume work. In industries where every hour of downtime has financial, operational, or even safety implications, that delay is costly. DaaS changes the equation. With cloud-based desktops, organizations can provision clean, standardized environments in minutes. If a device is compromised, employees can simply log in from another device and get back to work immediately. This eliminates many of the bottlenecks associated with endpoint recovery and gives organizations a faster, more controlled way to respond to cyber incidents. ... However, beyond these technical benefits, the shift to DaaS encourages organizations to adopt a more proactive, strategic mindset toward resilience. It allows teams to operate more flexibly, adapt to hybrid work models, and maintain continuity through a wider range of disruptions. ... DaaS offers a practical, future-ready way to achieve that goal. By making desktops portable, recoverable, and consistently accessible, it empowers organizations to maintain operations even when the unexpected occurs. In a world defined by unpredictability, businesses that embrace cloud-based desktop recovery are better positioned not just to withstand crises, but to move through them with agility and confidence.


From Alert Fatigue to Agent-Assisted Intelligent Observability

The maintenance burden grows with the system. Teams spend significant time just keeping their observability infrastructure current. New services need instrumentation. Dashboards need updates. Alert thresholds need tuning as traffic patterns shift. Dependencies change and monitoring needs to adapt. It is routine, but necessary work, and it consumes hours that could be used building features or improving reliability. A typical microservices architecture generates enormous volumes of telemetry data. Logs from dozens of services. Metrics from hundreds of containers. Traces spanning multiple systems. When an incident happens, engineers face a correlation problem. ... The shift to intelligent observability changes how engineering work gets done. Instead of spending the first twenty minutes of every incident manually correlating logs and metrics across dashboards, engineers can review AI-generated summaries that link deployment timing, error patterns, and infrastructure changes. Incident tickets are automatically populated with context. Root cause analysis, which used to require extensive investigation, now starts with a clear hypothesis. Engineers still make the decisions, but they are working from a foundation of analyzed data rather than raw signals. ... Systems are getting more complex, data volumes are increasing, and downtime is getting more expensive. Human brains aren't getting bigger or faster.


AI is collapsing the career ladder - 5 ways to reach that leadership role now

Barry Panayi, group chief data officer at insurance firm Howden, said one of the first steps for would-be executives is to make a name for themselves. ... "Experiencing something completely different from the day-to-day job is about understanding the business. I think that exposure is what gives me confidence to have opinions on topics outside of my lane," he said. "It's those kinds of opinions and contributions that get you noticed, not being a great data person, because people will assume you're good at that area. After all, that's why the board hired you." ... "Show that you understand the organization's wider strategy and how your role and the team you lead fit within that approach," he said. "It's also about thinking commercially -- being able to demonstrate that you understand how the operational decisions you make, in whatever aspect you're leading, impact top and bottom-line business value. Think like a business shareholder, not just a manager of your team." ... "Paying it forward is really important for the next generation," she said. "And as a leader, if you're not creating the next generation and the generation after that, what are you doing?" McCarroll said Helios Towers has a strong culture of promoting and developing talent from within, including certifying people in Lean Six Sigma through a leadership program with Cranfield University, partnering closely with the internal HR department, and developing regular succession planning opportunities. 


Leadership Is More Than Thinking—It's Doing

Leadership, at its core, isn't a point of view; it's a daily practice. Being an effective leader requires more than being a thinker. It's also about being a doer—someone willing to translate conviction into conduct, values into decisions and belief into behavior. ... It's often inconsistency, not substantial failure, that erodes workplace culture. Employees don't want to hear from leaders only after a decision has already been made. Being a true leader requires knowing what aspects of our environment we're willing to risk before making any decision at all. ... Every time leaders postpone necessary conversations, tolerate misaligned behavior or choose convenience over courage, they incur what I call leadership debt. Like financial debt, it compounds quietly, and it's always paid—but rarely by the leader who incurred it. ... thinking strategically has never been more important. But it's not enough to thrive. Organizations with exceptional strategic clarity can still falter because leaders underestimate the "doing" aspect of change. They may communicate the vision eloquently, then fail to stay close to employees' lived experience as they try to deliver that vision. Meanwhile, teams can rise to meet extraordinary challenges when leaders are present. Listening deeply, acknowledging uncertainty and acting with transparency foster confidence and reassurance in employees.


AI Governance in 2026: Is Your Organization Ready?

In 2026, regulators and courts will begin clarifying responsibility when these systems act with limited human oversight. For CIOs, this means governance must move closer to runtime. This includes things like real-time monitoring, automated guardrails, and defined escalation paths when systems deviate from expected behavior. ... The EU AI Act’s high-risk obligations become fully applicable in August 2026. In parallel, U.S. state attorneys general are increasingly using consumer protection and discrimination statutes to pursue AI-related claims. Importantly, regulators are signaling that documentation gaps themselves may constitute violations. ... Models that can’t clearly justify outputs or demonstrate how bias and safety risks are managed face growing resistance, regardless of accuracy claims. This trend is reinforced by guidance from the National Academy of Medicine and ongoing FDA oversight of software-based medical devices. In 2026, governance in healthcare will no longer differentiate vendors; it will determine whether systems can be deployed at all. Leaders in other regulated industries should expect similar dynamics to emerge over the next year. ... “Governance debt” will become visible at the executive level. Organizations without consistent, auditable oversight across AI systems will face higher costs, whether through fines, forced system withdrawals, reputational damage, or legal fees.

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