AWS limits AI agents’ data access, even when manipulated
AWS detailed propagating user authorization context through Bedrock AgentCore so downstream services enforce access controls even if the agent is manipulated via prompt injection.
AWS described an architecture for Amazon Bedrock AgentCore where user tokens and department claims are validated at runtime and propagated to DynamoDB, Bedrock Knowledge Bases, and Salesforce. Downstream services enforce authorization themselves, so a prompt-injected or buggy agent cannot retrieve data the user is not entitled to see. AWS demonstrated the pattern with a CRM use case separating Sales and Finance access and recommends IAM-backed knowledge bases for stricter isolation.
- AgentCore Runtime validates user tokens before requests reach the agent
- Authorization enforced by DynamoDB, Salesforce sharing rules, and metadata filters
- Approach protects against prompt injection and application bugs bypassing access controls
- Vendors
- AWSMicrosoftOktaSalesforce
- Organizations
- AWS
From the original article
2 min read at helpnetsecurity.com
AWS has detailed an approach for propagating user authorization context through AI agents , allowing access controls to be enforced by infrastructure and downstream services rather than relying on the agent itself.
By @helpnetsecurity · helpnetsecurity.com
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