Securing & Governing AI Agents
By the end of 2026, an estimated 40% of enterprise apps will have task-specific AI agents embedded — up from under 5% a year ago. The deployment is racing ahead; the governance is not. Autonomous agents that can read data, call tools, and act on your behalf are on track to become one of the leading sources of data leaks and a favorite new attack surface.
This isn't a "what is an agent" talk. It's a working session where you build a real governance and security control set for the agents in your stack.
What we'll build together:
An agent threat model using the OWASP agentic risks — goal hijacking, tool misuse, over-permissioning, memory poisoning, and rogue autonomy
Identity and least-privilege controls so an agent can only touch what it should
Human-in-the-loop gates for high-impact actions, plus logging and monitoring that hold up in an audit
A control set mapped to ISO 42001 and NIST AI RMF, so this work counts toward the frameworks your buyers already ask about
You'll walk away with: a working agent-governance control set, a methodology brief, the session recording, and a 30-minute follow-up option to apply it to your own environment.
Who it's for: AI-native startups deploying agents or copilots, and the security/GRC teams who have to make them defensible for enterprise procurement.
Hosted by Meenu Chadha, Founder & Principal Advisor, Cyber Advisory.
Grab the early-bird rate — first 10 seats, then $249.