Amazon Web Services is upgrading its AI agent platform. The company announced major new features for Amazon Bedrock AgentCore on Tuesday. The rollout happened at the AWS re:Invent conference in Las Vegas.The updates aim to solve key enterprise concerns. They focus on safety, memory, and performance monitoring. According to TechCrunch, these tools make building reliable AI agents significantly easier.
New Tools for Safety and Control in AI Development
One major addition is called “Policy.” This feature lets developers set boundaries using plain English. They can restrict agent access to sensitive data or external tools like Salesforce.These rules integrate with the AgentCore Gateway. The system automatically checks each agent action. It stops any step that violates the written controls.For example, a policy could let an agent issue automatic refunds up to $100. Any larger transaction would require human approval. This balance of automation and oversight is crucial for business adoption.

Enhancing Memory and Evaluation for Enterprise Trust
AWS also introduced AgentCore Memory. This capability lets AI agents remember user information over time. An agent could log a customer’s flight preferences or hotel choices.The agent uses this memory to inform future decisions. It creates a more personalized and efficient interaction. This mimics a human-like understanding of ongoing relationships.Another critical launch is AgentCore Evaluations. It offers 13 pre-built evaluation systems. These monitor an agent’s correctness, safety, and tool selection accuracy.This suite gives developers a vital head start. Building such evaluation frameworks from scratch is often tedious and complex. It directly addresses fears about deploying unmonitored AI agents into workflows.
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These upgrades to Amazon Bedrock AgentCore represent a strategic push by AWS to capture the enterprise AI agent market by prioritizing the safety and reliability that large businesses demand.
Info at your fingertips
What is Amazon Bedrock AgentCore?
It is an AWS platform for building AI agents. These agents can perform tasks by reasoning and using external tools. It’s designed to simplify development for businesses.
What does the new “Policy” feature do?
Policy lets developers set natural language boundaries for AI agents. It controls access to data and tools. This automatically blocks actions that break the rules.
Why is agent evaluation important?
Evaluation is key for trust and safety. It monitors if agents are correct, safe, and using the right tools. This helps catch problems before wide deployment.
How does AgentCore Memory work?
It allows agents to retain information about user interactions over time. This memory, like travel preferences, helps the agent make better future decisions.
Are these new features available now?
They were announced at AWS re:Invent 2025. General availability timelines are typically shared by AWS shortly after such announcements. Developers should check the AWS console for updates.
Who is the target user for these updates?
The updates target enterprise developers and companies. They are for those building AI agents into customer service, IT, and operational workflows where control is essential.
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