Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Every conversation I have with security leaders about enterprise AI security eventually arrives at the same place: a description of what they've extended. Their data loss prevention tool now flags sensitive data going into prompts. Their SIEM is ingesting AI platform logs. Their cloud security team has added model endpoints to their coverage scope. For many teams, this represents real effort and real progress.

Download Beyond Identity: The CISO's Guide to Securing Agentic AI for a 12-month roadmap to comprehensive agent governance, starting with visibility. Some organizations still treat agentic AI as a future problem. Something to plan for. Something on the horizon. That framing is wrong, and the inaction it entails will put you behind.

If there's one idea that shaped RSA 2026, it was identity. Vendor booths, keynotes, conversations. All roads led back to the same instinct: control identity, control access, control risk. That instinct is directionally correct. Identity governance is foundational. But identity answers only part of the question agentic AI is asking. Here's the part it doesn't answer: authorization tells you what an agent was permitted to do. It says nothing about whether what it actually did was appropriate.

A couple of years ago, AI agent security was a niche conversation. The practitioners who took it seriously were a small group of researchers, a handful of forward-looking CISOs, and a few founders who had watched the attack surface forming in real time. The broader market hadn't caught up yet. It has now. Enterprises are deploying AI agents at scale across platforms. The productivity gains are real. The competitive pressure to adopt is real.

When the US Center for AI Standards and Innovation (CAISI) asked for public input on securing agentic AI systems, the response was massive: over 500 detailed submissions from Fortune 500 companies, defense contractors, AI startups, and cybersecurity firms. The result is substantial insight into how industry views the regulatory challenges of autonomous AI agents and what they think policymakers should do about it.

Gartner named Zenity the company to beat in the AI Agent Governance category in its AI Vendor Race: Zenity Is the Company to Beat in AI Agent Governance report as of 17 April 2026. The evaluation covered technical capabilities, customer implementations, business model, and ecosystem strength. That methodology matters because for us, it means the recognition reflects what the platform actually does in production, not just how well a demo lands.