--- format: "aidr-story-markdown/v1" id: "a4d7ee588fdab9a21f4e560b1579aeb8893caa3d5009079b2ae6db911fbcb9eb" canonical_url: "https://aidr.today/a4d7ee58?lang=en" title: "Manage end-user OAuth consent for AI agents with Amazon Bedrock AgentCore" lang: "en" requested_lang: "en" available_langs: ["en","vi"] translation_fallback: null fallback_fields: [] published_at: "2026-09-14T20:35:45.000Z" category: "Products" topics: [] source_urls: ["https://aws.amazon.com/blogs/machine-learning/manage-end-user-oauth-consent-for-ai-agents-with-amazon-bedrock-agentcore/"] summary: "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 authorization code grant targets, and the end-user consent flow, and shows how to review activity in AWS CloudTrail." --- # Manage end\-user OAuth consent for AI agents with Amazon Bedrock AgentCore > [Open the canonical story]() **Published:** 2026-09-14T20:35:45.000Z **Category:** Products ## Summary 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 authorization code grant targets, and the end\-user consent flow, and shows how to review activity in AWS CloudTrail\. ## Sources - [Story source]()