Amazon Bedrock AgentCore Launches Policy Controls and Real-Time Evaluations for Trusted AI Agent Deployment
Summary
Amazon Bedrock AgentCore launches groundbreaking policy controls using Cedar language and real-time evaluations to ensure trusted AI agent deployment, while introducing episodic memory that lets agents learn from past experiences and bidirectional streaming for natural voice conversations with interruption capabilities.
Key Points
- Amazon Bedrock AgentCore introduces Policy controls and Evaluations capabilities to help organizations deploy trusted AI agents with quality monitoring and fine-grained permission boundaries
- New Policy feature uses Cedar language to define agent access controls and intercepts tool calls before execution, while AgentCore Evaluations provides real-time quality monitoring with built-in and custom evaluators
- Additional enhancements include episodic memory functionality that enables agents to learn from past experiences and bidirectional streaming for natural voice conversations where users can interrupt agents mid-response