Latest cybersecurity reporting from selected sources.

A few days ago, I was sitting with the CISO of a Fortune 50 company, walking through how his security team was thinking about AI agents in the SOC. Smart team. Serious program. They had already connected Claude to a few detection tools and were seeing real value in specific investigations. But as we mapped out the broader architecture, something kept nagging at me. The design they were building

For thirty years, vulnerability management ran on a buffer: the months between when a vulnerability was found and when someone could figure out how to weaponize it. The solution was straightforward enough; triage by severity, schedule the fix, validate, and move on. The buffer was what made that work

AI-generated lookalike domains are now embedded inside the third-party scripts running on your web properties. Here's why your current stack can't see them, and what detection actually requires

Few technologies have moved from experimentation to boardroom mandate as quickly as AI. Across industries, leadership teams have embraced its broader potential, and boards, investors, and executives are already pushing organizations to adopt it across operational and security functions. Pentera’s AI Security and Exposure Report 2026 reflects that momentum: every CISO surveyed

In the rapid evolution of the 2026 threat landscape, a frustrating paradox has emerged for CISOs and security leaders: Identity programs are maturing, yet the risk is actually increasing

There is a character that keeps appearing in enterprise security departments, and most CISOs know exactly who that is. It doesn’t build. It doesn’t enable. Its entire function is to say "No." No to ChatGPT

Secrets sprawl isn't slowing down: in 2025, it accelerated faster than most security teams anticipated. GitGuardian's State of Secrets Sprawl 2026 report analyzed billions of commits across public GitHub and uncovered 29 million new hardcoded secrets in 2025 alone, a 34% increase year over year and the largest single-year jump ever recorded

A majority of security leaders are struggling to defend AI systems with tools and skills that are not fit for the challenge, according to the AI and Adversarial Testing Benchmark Report 2026 from Pentera

As AI becomes the central engine for enterprise productivity, security leaders are finally getting the green light — and the budget — to secure it. But there’s a quiet crisis unfolding in the boardroom: many organizations know they need "AI Governance," but they have no idea what they are actually looking for

With $5.5 trillion in global AI risk exposure and 700,000 U.S. workers needing reskilling, four new AI certifications and Certified CISO v4 help close the gap between AI adoption and workforce readiness

AI-enabled supply chain attacks jumped 156% last year. Discover why traditional defenses are failing and what CISOs must do now to protect their organizations

Big companies are getting smaller, and their CEOs want everyone to know it. Wells Fargo has cut its workforce by 23% over five years, Bank of America has shed 88,000 employees since 2010, and Verizon's CEO recently boasted that headcount is "going down all the time." What was once a sign of corporate distress has become a badge of honor, with executives celebrating lean operations and AI-driven

AI’s growing role in enterprise environments has heightened the urgency for Chief Information Security Officers (CISOs) to drive effective AI governance. When it comes to any emerging technology, governance is hard – but effective governance is even harder. The first instinct for most organizations is to respond with rigid policies. Write a policy document, circulate a set of restrictions, and

Generative AI has gone from a curiosity to a cornerstone of enterprise productivity in just a few short years. From copilots embedded in office suites to dedicated large language model (LLM) platforms, employees now rely on these tools to code, analyze, draft, and decide. But for CISOs and security architects, the very speed of adoption has created a paradox: the more powerful the tools, the

In a world where threats are persistent, the modern CISO’s real job isn't just to secure technology—it's to preserve institutional trust and ensure business continuity

Employees are experimenting with AI at record speed. They are drafting emails, analyzing data, and transforming the workplace. The problem is not the pace of AI adoption, but the lack of control and safeguards in place

AI holds the promise to revolutionize all sectors of enterpriseーfrom fraud detection and content personalization to customer service and security operations. Yet, despite its potential, implementation often stalls behind a wall of security, legal, and compliance hurdles

CISOs are finding themselves more involved in AI teams, often leading the cross-functional effort and AI strategy. But there aren’t many resources to guide them on what their role should look like or what they should bring to these meetings.  We’ve pulled together a framework for security leaders to help push AI teams and committees further in their AI adoption—providing them with the

In the digital realm, secrets (API keys, private keys, username and password combos, etc.) are the keys to the kingdom. But what if those keys were accidentally left out in the open in the very tools we use to collaborate every day? A Single Secret Can Wreak Havoc Imagine this: It's a typical Tuesday in June 2024. Your dev team is knee-deep in sprints, Jira tickets are flying, and Slack is

Ambitious Employees Tout New AI Tools, Ignore Serious SaaS Security RisksLike the SaaS shadow IT of the past, AI is placing CISOs and cybersecurity teams in a tough but familiar spot.  Employees are covertly using AI with little regard for established IT and cybersecurity review procedures. Considering ChatGPT’s meteoric rise to 100 million users within 60 days of launch, especially with little