Latest cybersecurity reporting from selected sources.

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

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

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

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