Compliance as Code for AWS at Scale
Automated evidence with Prowler and Scout Suite in Jenkins
Key Metrics
Weekly + on‑demand
Scan Cadence
S3 with lifecycle rules
Artifact Retention
Minutes from scan to Slack
Notification Latency
Reduced via ticketing hooks
Remediation Lead Time
The Challenge
Security audits were episodic and manual. We needed continuous, automated checks across accounts with durable artifacts and simple access for auditors and engineers.
The Solution
1) Jenkins Orchestration
- Pipelines for scheduled scans and ad‑hoc runs; parameters for account/region scopes.
2) Multi‑Tool Coverage
- Prowler for CIS and foundational security hardening; Scout Suite for deep service posture.
- HTML/CSV/JSON outputs standardized and tagged.
3) Evidence Publishing
- Artifacts stored in S3 with lifecycle policies; optional ALB/CloudFront hosting for read‑only access.
- Slack notifications with links, summaries, and diffs versus previous runs.
4) Ticketing Hooks (Optional)
- Open issues for high‑risk findings with labels/owners.
Technologies Used
- Jenkins
- Prowler, Scout Suite
- AWS S3, IAM, ALB/CloudFront (optional hosting)
- Slack
Results Achieved
- Continuous, auditable compliance checks
- Faster discovery and remediation of high‑risk findings
- Repeatable evidence for external audits
Key Metrics
- Scan Cadence: Weekly + on‑demand
- Artifact Retention: S3 with lifecycle rules
- Notification Latency: Minutes from scan to Slack
- Remediation Lead Time: Reduced via ticketing hooks
Key Learnings
- Treat compliance like code: versioned, reviewed, and scheduled
- Normalize outputs and naming to enable easy diffing over time
- Keep access read‑only and pre‑authenticated where possible