One pipeline step. AI-powered compliance checks, drift detection, and plain-English fix instructions — posted to every PR automatically.
DriftOps automatically posts a detailed report as a PR comment — score, violations, and copy-paste Terraform fixes.
Add 3 lines to your pipeline. Everything else is automatic.
Drop 3 lines of YAML into any GitHub Actions, Azure DevOps, GitLab, or Jenkins workflow. No agents, no sidecars, no infrastructure to manage.
DriftOps scans your Terraform, ARM, and CDK files. Builds a full resource inventory. Snapshots state. Diffs vs prior deploy to detect drift.
AI reads NIST 800-53 Rev 5 and maps every control to your actual infrastructure. Scores 0–100. Flags critical violations with exact resource names.
Generates a plain-English compliance report with copy-paste Terraform fixes. Posts it as a PR comment automatically. No dashboards to check.
Built for DevOps engineers who don't have time for security theater.
Full coverage across AC, AU, CM, IA, SC, SI control families. AI interprets the actual standard — not hardcoded rules.
Snapshots infrastructure state on every deploy. Diffs vs prior commit. Catches unauthorized changes before they hit production.
AI-written compliance report posted automatically on every pull request. Score bar, violations, risk assessment, and fix instructions.
Optionally block deploys when critical violations are found. Gate keeper for your entire infrastructure lifecycle.
Generates L1–L4 architecture diagrams on every deploy. Always up to date. Never out of sync with reality. (Coming soon)
GitHub Actions, Azure DevOps, GitLab CI, Jenkins, CircleCI, Bitbucket, AWS CodePipeline. Works everywhere your code runs.
No credit card required. No enterprise sales calls. No $500K contracts.
Join engineers who've stopped manually reviewing infrastructure
and started letting DriftOps do it on every PR.
Initial scan identified critical security vulnerabilities requiring immediate attention. Three critical violations detected across database, storage, and IAM configurations that must be remediated before production deployment.
aws_db_instance.insecure_db— setstorage_encrypted = truein database_violations.tfaws_s3_bucket.public_bucket— addserver_side_encryption_configurationblock with AES256aws_iam_policy.over_privileged— enforce least privilege, remove wildcard permissions