AI Explained: Fighting AI Threats With Autonomous Defense
As AI systems become more agentic, the security challenge increasingly outpaces traditional review, monitoring, and incident response. Enterprises are shifting from systems that generate content to systems that use tools, make decisions, access data, and take action across environments. Attackers use AI to accelerate the speed and scale of attacks. As a result, defensive systems must become more autonomous to keep pace. But that autonomy has to be governed, through identity, permissions, telemetry, policy, human approval points, and clear control boundaries.
Join David Campbell, a founding member of OWASP, as he makes the case for autonomous defense at the intersection of AI security and governance, where the goal is no longer just securing models, but securing autonomous systems that operate in the real world.
What you'll learn:
- Why securing systems that take action on their own is a different problem than securing ones that only generate content
- What autonomous defense looks like in practice, from scoped, least-privilege access to continuous testing of how systems behave
- The Behavior, Identity, and Control (BIC) framework, and how it governs what a system does, who it acts as, and the limits around it
AI Explained is our AMA series featuring experts on the most pressing issues facing Agentic and AI teams.