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Manage end-user OAuth consent for AI agents with Amazon Bedrock AgentCore

Amazon Bedrock AgentCore Identity now offers a Consent portal, a managed web experience and session binding endpoint for AgentCore Gateway. This post walks through provisioning a portal, configuring GitHub and Slack 3LO targets, and the end-user consent flow, and shows how to review activity in AWS CloudTrail.

Managing end-user OAuth consent for AI agents using Amazon Bedrock AgentCore involves a managed web experience and session binding endpoint for AgentCore Gateway. Customers can configure their corporate IdP, create gateway targets, execution role, and Consent portal through the AWS Management Console. Developers can then authenticate with the corporate IdP, review provider connections, and grant consent to individual services like GitHub and Slack before invoking tools.

The Consent portal handles browser redirects and session binding, while tokens are stored in the AgentCore Identity token vault. This simplifies the process for administrators and end-users, eliminating the need to build and host their own session binding infrastructure.

Written by urgent.news from AWS Machine Learning's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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