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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

Phishing has quietly turned into one of the hardest enterprise threats to expose early. Instead of crude lures and obvious payloads, modern campaigns rely on trusted infrastructure, legitimate-looking authentication flows, and encrypted traffic that conceals malicious behavior from traditional detection layers. For CISOs, the priority is now clear: scale phishing detection in a way that helps

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

Every CISO knows the uncomfortable truth about their Security Operations Center: the people most responsible for catching threats in real time are the people with the least experience. Tier 1 analysts sit at the front line of detection, and yet they are also the most vulnerable to the cognitive and organizational pressures that quietly erode SOC performance over time

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

Why do SOC teams keep burning out and missing SLAs even after spending big on security tools? Routine triage piles up, senior specialists get dragged into basic validation, and MTTR climbs, while stealthy threats still find room to slip through. Top CISOs have realized the solution isn’t hiring more people or stacking yet another tool onto the workflow, but giving their teams faster, clearer

Beyond the direct impact of cyberattacks, enterprises suffer from a secondary but potentially even more costly risk: operational downtime, any amount of which translates into very real damage. That’s why for CISOs, it’s key to prioritize decisions that reduce dwell time and protect their company from risk.  Three strategic steps you can take this year for better results: 1. Focus on today's

The U.S. Securities and Exchange Commission (SEC) has abandoned its lawsuit against SolarWinds and its chief information security officer, alleging that the company had misled investors about the security practices that led to the 2020 supply chain attack

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

Security doesn’t fail at the point of breach. It fails at the point of impact.  That line set the tone for this year’s Picus Breach and Simulation (BAS) Summit, where researchers, practitioners, and CISOs all echoed the same theme: cyber defense is no longer about prediction. It's about proof

Car makers don’t trust blueprints. They smash prototypes into walls. Again and again. In controlled conditions

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