Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Security teams already know employees use generative AI. The harder problem is buying the right platform before unsanctioned apps move sensitive data outside your visibility and control. UpGuard research found 81% of employees and 88% of security leaders use unapproved AI tools, and 45% of workers find a workaround when their employer blocks an app. That last number should shape your buying criteria more than the first two. Demand doesn't disappear when you block it. It moves somewhere you can't see.

An AI governance framework proves itself the first time somebody asks for proof. The gap that sinks most programs sits under the policy, in the layer where nobody can say which identities reach sensitive data through an AI tool. Ownership, approval paths, control mapping, and live access visibility are what separate a working framework from a well-formatted document, and right now most organizations are missing at least one of the four. AI reaches most organizations through several doors at once.

Ask AI to Choose a prompt Write a TLDR of this post Explain the security risk Summarize what CISOs should know When I walked to the stage in Copenhagen, I had a lot on my mind. For 3 days I'd had countless conversations with leaders and practitioners about AI and agentic security. The one word on everyone's lips was "governance"; day 3 at the conference was "Governance Day," in fact. This is a bag one vendor was giving out: But governance of what? To what end?