HashiCorp Boundary controls secure access. AWS CloudTrail records every API call and IAM action. Together they give you traceability of who did what, when, and from where. But pulling the right signal from noise requires more than raw logs. That is where CloudTrail query runbooks come in.
A CloudTrail query runbook for Boundary starts with defining the event types: AuthorizeSession, StartSession, CloseSession. You map these into CloudTrail by tracking the AWS resources Boundary touches, the IAM roles in use, and the originating IP addresses. The runbook sets filters: event name, resource type, identity, and time range.
Next, it standardizes the query syntax using AWS Athena or CloudWatch Logs Insights. Standard fields—eventTime, eventSource, userIdentity.sessionContext.sessionIssuer.userName—are the spine of the query. The runbook includes tested queries for:
- Detecting unauthorized Boundary session starts.
- Correlating CloudTrail events with Boundary access grants.
- Spotting privilege changes tied to Boundary activity.
Execution steps are explicit:
- Connect Athena or CloudWatch to your CloudTrail S3 bucket.
- Run predefined SQL or Insights queries stored in version control.
- Export results to JSON or CSV for audit trails.
- Alert via SNS or integrate with Slack for live notifications.
HashiCorp Boundary CloudTrail query runbooks reduce the gap between detection and response. They remove guesswork, enforce consistent investigation, and make audits verifiable. They also shorten the time-to-insight when compliance or security teams need proof.
Build your runbooks once. Reuse them for incident response, forensics, and weekly access reviews. Automate triggers so that suspect events fire queries automatically. Keep them in Git, document every change, and tie results back to Boundary’s access logs.
You can see a running example, with deploy-ready Boundary and CloudTrail query runbooks, on hoop.dev. Launch it and watch the pipeline in action in minutes.