Secure AI agents with Policy in Amazon Bedrock AgentCore
TL;DR
Amazon Bedrock AgentCore Policy adds a deterministic enforcement layer that operates independently of the agent's own reasoning.
Key Points
- Natural language business rules are automatically converted into Cedar policies – an established, open-source policy format.
- Policies are enforced via the AgentCore Gateway, which intercepts and evaluates every agent-to-tool request at runtime.
- Access controls are identity-aware: agents can only reach tools and data that their current user is actually authorized to use.
Nauti's Take
The principle is sound: don't blindly trust the model – enforce boundaries at the infrastructure level. AWS using Cedar here – the same policy language behind AWS IAM Verified Access – signals good consistency across the platform.
The weak point is how reliably natural language business rules translate into correct Cedar policies in practice; silent errors there can be dangerous. Overall, AgentCore Policy is a long-overdue building block for anyone deploying agents in production, regulated environments.
Sources
