Secure AI agents with Policy in Amazon Bedrock AgentCore

Amazon Web Services has introduced Policy in Amazon Bedrock AgentCore, a critical security framework designed specifically for autonomous AI agents. Unlike traditional software security, this system addresses the unique challenges posed by agents that can independently choose actions, invoke tools, and adapt their reasoning. The solution creates deterministic enforcement layers that operate completely independently of the agent's own LLM-based decision-making, intercepting every request through the AgentCore Gateway before tool execution occurs.

At the core of this system is Cedar, Amazon's specialized authorization policy language. Developers can translate natural language business rules into precise Cedar policies that enforce fine-grained, identity-aware controls. This approach separates security concerns from capability development, allowing security teams to audit clear policy definitions rather than reviewing complex application code. The framework is particularly valuable for regulated industries like healthcare, where agents must handle sensitive patient data while respecting strict access boundaries and business rules.

This represents a fundamental shift in AI agent security architecture. Instead of embedding safety rules within agent code—where they're vulnerable to prompt injection attacks and LLM hallucinations—Policy in Bedrock AgentCore establishes external, auditable security boundaries. The system ensures enforcement regardless of how agents are prompted or manipulated, providing deterministic protection against data exfiltration, unintended infrastructure access, and other security risks inherent in autonomous AI systems.