AI security audits check what data your AI can access, how it's protected, and who controls it. Use this checklist to ensure your AI automation doesn't become a security liability.
AI Security Audit Checklist
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Get Free Analysis → No signup required • Results in 30 seconds1. Access Control Review
- ☐ Who has admin access to AI systems?
- ☐ Are API keys stored securely (not in code repos)?
- ☐ Are access permissions scoped to minimum necessary?
- ☐ Is multi-factor authentication enabled?
- ☐ Are there dormant accounts that should be deactivated?
2. Data Flow Analysis
- ☐ What data sources does AI connect to?
- ☐ What data does AI process but not need?
- ☐ Where does AI send data (APIs, storage)?
- ☐ Is data encrypted in transit?
- ☐ Is data encrypted at rest?
- ☐ How long is data retained?
3. Permission Verification
- ☐ Can AI read data it shouldn't access?
- ☐ Can AI modify data? Should it be able to?
- ☐ Can AI delete data?
- ☐ Are write permissions limited where appropriate?
- ☐ Are there permission escalation risks?
4. Output Monitoring
- ☐ Can AI output contain sensitive data?
- ☐ Is output filtered for PII?
- ☐ Where are AI outputs stored?
- ☐ Who can see AI outputs?
- ☐ Can AI outputs be sent externally?
5. Third-Party Platform Security
| Item | Check |
|---|---|
| SOC 2 certification | ☐ Verify current |
| Data residency | ☐ Know where data is stored |
| Third-party audits | ☐ Review available reports |
| Incident history | ☐ Check vendor track record |
| Contract terms | ☐ Review data handling agreements |
6. Logging and Monitoring
- ☐ Are all AI actions logged?
- ☐ Can you trace who initiated each action?
- ☐ Are there alerts for suspicious activity?
- ☐ How long are logs retained?
- ☐ Who reviews logs and how often?
Audit Frequency
| Audit Type | Frequency | Who |
|---|---|---|
| Full security audit | Quarterly | Security lead or external auditor |
| Access review | Monthly | IT admin |
| Log review | Weekly | Designated reviewer |
| Permission updates | After any changes | IT admin |
| Incident response test | Semi-annually | Security team |
Red Flags to Watch For
- Overly broad permissions: AI accessing data it doesn't need
- Missing logs: Gaps in activity records
- Hardcoded credentials: API keys in code or config files
- No access controls: Anyone can modify AI behavior
- Unlimited data retention: Old data stored indefinitely
- External data sharing: AI can send data outside your systems
Tools for AI Security Auditing
- API key scanners: Detect exposed credentials
- Cloud security dashboards: AWS/Azure/GCP security centers
- SIEM tools: Centralized log analysis
- Permission auditors: Review access scopes
- Vendor security portals: Check platform certifications
What Greene Solutions Provides
- Initial security configuration review
- Quarterly audit reports for managed clients
- Access control setup with minimum permissions
- Comprehensive logging and monitoring
- Incident response procedures
Need help auditing AI security?
We can conduct a security audit of your AI automation or help set up security measures before implementation. Free consultation available.
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