Cloud Compliance Audit Report
Monthly: compile cloud resource audit logs, detect anomalies (unusual access, unencrypted data, public resources), generate compliance report — save to secure store, notify compliance team.
Overview
**What it does**: Scheduled (monthly) → query cloud audit logs (AWS CloudTrail, GCP Cloud Audit Logs, Azure Activity Log) → code aggregates by user/resource/action → LLM analyzes for anomalies (unusual user actions, unencrypted resources created, public bucket access, permission escalations) and writes compliance narrative (access summary, anomalies, risk gaps, remediation) → save JSON to S3/GCS → Slack to #compliance with summary. **Setup (5 steps)**: 1. Connect cloud audit: AWS CloudTrail, GCP Cloud Audit Logs, Azure Activity Log 2. Configure report template: sections (access summary, anomalies, risk flags, remediation) 3. Set anomaly thresholds: flagged patterns (e.g., off-hours, unusual role, public resource) 4. Set secure storage: S3, GCS, Azure Blob for report archive 5. Test: run for past month; review generated report **Apps/nodes**: HTTP request (audit log API), code node (aggregation), Claude/OpenAI (report), HTTP request (storage upload), Slack. **Credentials required**: Cloud API key, secure storage credentials, OpenAI account, Slack workspace. **Difficulty**: High | **Setup time**: 18 minutes. **Business outcome**: Compliance audits automated → audit time ↓ 80%, anomalies ↑ proactive, SOC2/HIPAA readiness ↑.
What's included
Inside this workflow
Quickstart
- 01
Download the JSON
With an active Library Pass, download the workflow file right from this page or your dashboard.
- 02
Import into n8n
Choose Import from File and select the downloaded JSON. The full agent graph appears, ready to configure.
- 03
Plug in credentials
Each integration node prompts for credentials on first run. The setup guide lists every credential the agent expects.
- 04
Activate and test
Run once with sample input, confirm the expected output, then flip the activate toggle.
Frequently Asked Questions
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