Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

On April 25th, a Cursor AI coding agent running Anthropic's Claude Opus 4.6, one of the most capable models in the industry, deleted the production database for PocketOS, a software platform used by car rental businesses across the country to manage their entire operations. The deletion took 9 seconds.

A few years ago, we made a call that most of our industry was not ready to hear. AI agents were going to become the primary way enterprises get work done. Not as a concept, not as a research project, but as the operational reality of how the modern business runs. And the security infrastructure being built around them was designed for something fundamentally different. Prompt filtering. Model safety. Input guardrails.

For years, conversations about AI security risks were framed as forward-looking. Organizations were told to prepare for a future where autonomous agents would act on their behalf, access sensitive systems, and make consequential decisions without human intervention at every step. That future, it turns out, is now.

Gartner published the inaugural Hype Cycle for Agentic AI last week (and yes, we’re included in two subcategories - Agentic AI Security and Guardian Agent). A few things worth noting. It's inaugural, Gartner publishes over 130 Hype Cycles a year, and standing up a new one signals that a space has earned its own map. And it dropped in April, months ahead of the June - August window when these things usually appear.

The agentic AI security standards your enterprise will adopt in the next 18 months are being written right now, inside working groups most CISOs have never heard of. The Coalition for Secure AI (CoSAI), an OASIS Open Project with more than 45 sponsor organizations, including Google, Microsoft, NVIDIA, IBM, and Meta, is producing the frameworks, reference architectures, and secure design patterns that will define how autonomous agents operate inside enterprise environments.

The hype is deafening, the booths were packed, but most of what the industry is calling "agentic AI security" is point products wearing platform clothes. Here is what the real thing requires.