Discover, Observe and Secure AI Agents on AWS
Bring Bedrock agents and connected workflows into one security control plane. Trust3 AI connects agent inventory, runtime traces and authorization across supported tools, APIs and AWS data services.
Follow the workflow beyond the AWS role
A Bedrock agent may retrieve enterprise data, invoke a tool and send the result to another system. A valid service role establishes access, but security teams also need to understand the initiating user, the approved task and the destination of the output.
Agent Discovery Observability and Security
- Discover Find agents through connected AWS platform APIs, CloudTrail signals and supported SDK instrumentation. Map owners, operating identities, tool connections and resource access in a live inventory.
- Observe Correlate prompts, retrievals and tool calls with the user and agent behind the request. Investigate scope drift, sensitive-data exposure and abnormal token consumption across instrumented workflows.
- Secure Authorize supported actions against identity, approved purpose and tool scope. Apply MCP controls and runtime guardrails, with intervention and remediation when an agent exceeds policy.
Use AWS enforcement with centrally managed policy
Trust3 AI translates centrally authored policy into supported native controls, including Lake Formation enforcement. Extend policy administration across connected AWS and non-AWS data platforms while keeping data enforcement in the platform that executes the query.
Illustrative workflow
A support agent retrieves an authorized customer record, then attempts to send sensitive fields to an unapproved tool. The workflow demonstrates access authorization, destination controls and a trace linked to the initiating user.
See a Bedrock workflow from discovery to a permitted action and a blocked request.
