Picture this: It is a Tuesday afternoon. Your vulnerability management team pulls up the weekly report. Sixty-three thousand open vulnerabilities across your environment. Your patch team closes out five hundred this week — a solid sprint by any measure. Everyone nods. The meeting ends. You walk out feeling like you are making progress. Three weeks later, an attacker exfiltrates six months of customer data through a misconfigured cloud storage bucket. No CVE assigned. Not on any scan report. Not even on your radar. That gap — the one between what your vulnerability scanner sees and what an attacker actually exploits — is exactly the problem that Continuous Threat Exposure Management is designed to close. And if you are leading a security program today without a CTEM strategy in place, you are managing the wrong list. What CTEM Actually Is (And What It Isn’t) Gartner introduced the term Continuous Threat Exposure Management in 2022, and the security industry has been both energized and c...
The White House released its National Policy Framework for Artificial Intelligence on March 20, 2026, and every CISO needs to read past the headlines. The document is not a law. It is not a regulation. It is a set of legislative recommendations directed at Congress — non-binding by design — outlining how the Trump administration believes the federal government should approach AI governance. What it is, practically speaking, is the clearest signal yet of where federal AI policy is headed and how that trajectory should reshape your organization’s approach to AI risk management, compliance planning, and governance program design. The framework follows Executive Order 14365, signed in December 2025, which directed federal agencies to identify and challenge state AI laws that conflict with national AI strategy. Together, these actions set up the central tension that enterprise security leaders now have to navigate: a federal posture that is explicitly moving toward preempting state-level AI...