Agentic AI, systems that autonomously plan, reason and take real-world actions, is rapidly becoming the next frontier for federal missions. But these systems fundamentally break the traditional security model: they operate with real credentials, call external tools and make decisions without human approval. A compromised agent doesn't just leak data - it takes action. If you can't trust the agent, you can't trust the mission it supports.

In this session, Adam Bluhm will present on the agentic AI revolution, walk through original HiddenLayer threat research (including EchoGram, TokenBreak and Agentic ShadowLogic) and explain why LLM-based guardrails are architecturally insufficient for protecting agentic workflows. He'll break down how HiddenLayer's deterministic ML-based runtime security platform addresses these gaps by delivering the detection breadth, low latency and resilience that agentic systems demand.

Attendees left with a clear understanding of:

• Why agentic AI requires a new security model - backed by real world data
• How prompt injection, the top OWASP LLM risk, is targeting production AI agents
• Why mission trust demands runtime security and how HiddenLayer delivers it at agentic speed