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

AI agents often need to access services such as GitHub and Slack on a user’s behalf. Before an agent can act, the user must authenticate with the provider and explicitly approve the requested access. The application must then securely…

Amazon Web Services (AWS)

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Sep 14, 2026 at 8:35 PM UTC · 10 分钟阅读

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

AI agents often need to access services such as GitHub and Slack on a user’s behalf. Before an agent can act, the user must authenticate with the provider and explicitly approve the requested access. The application must then securely associate the resulting OAuth grant with the user who authorized it. This process is called session binding.

Previously, customers using the AgentCore Identity (a capability of Amazon Bedrock AgentCore) three-legged OAuth (3LO) flow (also known as OAuth 2.0 authorization code flow) had to build and host their own session binding infrastructure. This included presenting the authorization URL, hosting a public HTTPS callback, authenticating the returning user, managing browser sessions, and calling CompleteResourceTokenAuth to complete the flow.

AgentCore Identity now offers a Consent portal, a managed web experience and session binding endpoint for AgentCore Gateway, a capability of Amazon Bedrock AgentCore. You create a portal for a gateway and share its URL with your users. Users authenticate with your organization’s identity provider (IdP), review the services available to the agent, and grant consent to individual providers. The portal handles the browser redirects and session binding, while AgentCore Identity stores the resulting tokens in its token vault.

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