Announcing temporal policies and rate limiting in Amazon Bedrock AgentCore

Key takeaways

• New temporal policies manage agent authorization based on request history.
• Rate limiting controls AI traffic volume to prevent overload.
• Enhanced security and resource predictability for Bedrock agents.
• Better control over AI agent interactions and usage.

Why it matters

These updates provide crucial controls for businesses deploying AI agents. Temporal policies allow for more sophisticated, context-aware access management, while rate limiting prevents service abuse and ensures predictable performance for critical AI applications.