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Reference your own AWS Secrets Manager secrets in Amazon Bedrock AgentCore Identity

AWS just made it easier to deploy AI agents at enterprise scale. AgentCore now integrates with Secrets Manager for credential management.

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The KeyNews take

Why it matters

AWS is lowering friction for enterprise AI deployment by letting teams manage agent credentials through existing security infrastructure. This matters because enterprise adoption of AI agents depends on fitting into established governance and secrets management workflows.

The key facts

9 to know
  1. AWS Bedrock AgentCore now supports AWS Secrets Manager integration

  2. Organizations can reference preconfigured secrets for credential management

  3. Full control over encryption, rotation, replication, tags, and resource policies retained

  4. Cross-account secret reference supported (same AWS Region)

  5. Support for third-party secret managers via AWS Secrets Manager external connectors

  6. Users retain full control over encryption, rotation, replication, tags, and resource policies

  7. Cross-account secret sharing supported within same AWS Region

  8. Supports external connectors for third-party secret managers

  9. Feature extends existing organization secrets governance to AI agents

Go to the source

AWS Machine Learning Blogaws.amazon.com

Publisher excerpt: Today, we’re excited to announce the ability to reference a secret in AWS Secrets Manager for AgentCore Identity, so you can reference your own preconfigured secret from Secrets Manager and retain full control over how it is managed. With this ability, you can extend your organization’s existing…
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