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AI agents are increasingly trusted to act autonomously—but can be manipulated to violate security intent without exploiting code, models, or permissions. This RSAC session explores real-world attacks on agent reasoning that traditional controls miss, and presents a practical 90-day framework to govern agent behavior, constrain decisions, and restore trust in agentic systems.
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