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AWS is enhancing its AI agent platform, Amazon Bedrock AgentCore, with new tools to simplify enterprise AI agent development and monitoring. The updates include Policy for setting natural language boundaries, AgentCore Evaluations for pre-built safety checks, and memory capabilities for user data tracking. These features aim to address security concerns and improve agent reliability. Rebecca Szkutak, the article’s author, highlights AWS’s focus on sustainable AI tools amid industry trends. The announcements were revealed during the AWS re:Invent conference, emphasizing ongoing improvements to AgentCore’s architecture.
Key facts
- AWS introduced Policy, a feature allowing natural language boundaries for AI agent interactions.
- AgentCore Evaluations offers 13 pre-built systems to monitor AI agents’ correctness, safety, and tool accuracy.
- AgentCore Memory enables agents to store user data like travel preferences for informed decision-making.
- Policy integrates with external tools like Salesforce and Slack to enforce access controls.
- AWS emphasizes sustainability in AI development, adapting tools to evolving market trends.
TAGS:
#AI agents #AI security #AWS #Bedrock AgentCore #enterprise tech #Evaluations #Memory #Policy #re:Invent
