Security & Threat Intelligence · 18.08.2026, 21:10 UTC
Implement custom authentication for tools integration using request Lambda interceptor in AgentCore Gateway
| Schweregrad | info |
|---|---|
| Kategorie | Security & Threat Intelligence |
| Quelle | AWS Security Blog ↗ |
| Veröffentlicht | 18.08.2026 UTC |
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When deploying AI agents with Amazon Bedrock AgentCore, organizations benefit from built-in modern support for OAuth 2.0, AWS Identity and Access Management (IAM), and API key authentication through Amazon Bedrock AgentCore Gateway. However, some enterprise environments still use legacy authentication mechanisms such as HTTP Basic Authentication (Basic Auth) (RFC 7617). The extensible architecture of AgentCore Gateway enables support for these authentication mechanisms through a request Lambda interceptor—custom code that runs each time an agent calls a tool. In this post, we show you how to use a request Lambda interceptor to authenticate to a downstream tool API using system credentials, retrieving a service account credential from AWS Secrets Manager and constructing a Basic Auth header. This design keeps credentials isolated from the agent, designed to mitigate exposure through model-driven behavior such as prompt injection.
Important: Basic Auth is an antiquated technology that transmits credentials as Base64-encoded text and should not be used as a long-term authentication strategy. AWS recommends modernizing to OAuth 2.0, SAML, OpenID Connect, or IAM where possible. However, some organizations with legacy workloads choose to decouple authentication modernization from their agentic AI adoption, addressing each on independent timelines. If your environment requires Basic Auth integration as an interim measure, consult your AWS Solutions Architect to evaluate the security trade-offs before proceeding. We’re providing this post as a reusable implementation, but it …