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Learn to implement deterministic, auditable control over AI agent behavior using Policies in Amazon Bedrock AgentCore through this comprehensive AWS Show and Tell episode. Discover how to enforce policy controls at the gateway level before any tool execution occurs, ensuring transparent and predictable agent interactions without relying on LLM decision-making. Walk through the complete policy lifecycle including authoring policies in Cedar using natural language, attaching them to your AgentCore Gateway, and monitoring live traffic evaluation in real-time. Explore a practical use case that demonstrates how to transition from hoping your agent behaves appropriately to having concrete assurance of its actions. Access supporting resources including product documentation, blog posts, code samples, hands-on workshops for both getting started and deep dive scenarios, and additional discussion materials to reinforce your understanding of policy-controlled agent architectures.
