
Amazon Bedrock AgentCore Observability helps optimize production AI agents by identifying performance bottlenecks and diagnosing memory issues. This capability, combined with Amazon CloudWatch, enables developers to monitor and improve agent performance. By using AgentCore Observability, developers can ensure their AI agents are efficient, reliable, and scalable.

Amazon Bedrock AgentCore Identity now supports Private Key JWT client authentication for agents, allowing for more secure authentication using a signed JSON Web Token (JWT) client assertion. This new feature enables agents to authenticate to a downstream identity provider’s token endpoint without using a shared OAuth 2.0 client secret. With Private Key JWT, agents can register a public key with their identity provider while keeping the corresponding private key secure in an AWS Key Management Service (AWS KMS).

Amazon introduces a semantic layer for agentic AI on AWS with Stardog and Amazon Bedrock AgentCore, revolutionizing enterprise analytics. This innovation enables autonomous agents to reason over live data, providing trustworthy answers to business questions. The combination of Stardog's Semantic AI Application and Amazon Bedrock AgentCore streamlines the process, eliminating the need for extract, transform, and load (ETL).

Amazon AWS has unveiled an AI-powered AWS Support Companion, built on Amazon Bedrock AgentCore, designed to dramatically reduce the time and effort spent on incident investigations. This innovative solution centralizes critical AWS operations, enabling engineers to analyze logs, search documentation, query community knowledge, and create support cases from a single conversational interface. It promises to transform operational efficiency and accelerate resolution times for AWS infrastructure management.

Amazon introduces Bedrock AgentCore Observability to debug production AI agents, providing visibility into agent execution and decision-making. This feature addresses the challenges of silent failures in AI agents, enabling developers to identify and resolve issues efficiently. With this release, Amazon aims to improve the reliability and performance of AI systems.
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