The Security Audit That Catches What AI Misses: A 12-Point Checklist
AI security scanners are great. But they miss things. Here's the 12-point checklist that catches what AI can't.
Why AI Security Scanners Aren't Enough
AI security tools are excellent at:
- Known vulnerability patterns
- Dependency scanning
- Code analysis
- Compliance checking
But they miss:
- Business logic flaws
- Configuration drift
- Access control gaps
- Process vulnerabilities
- Third-party risks
The 12-Point Human Security Audit
1. Access Control Review
def audit_access_controls():
checks = {
'admin_accounts': count_admin_accounts(),
'stale_access': find_unused_access(90), # 90 days
'shared_accounts': find_shared_credentials(),
'mfa_coverage': check_mfa_enrollment(),
'service_accounts': audit_service_accounts()
}
issues = []
if checks['admin_accounts'] > 5:
issues.append('Too many admin accounts')
if checks['stale_access'] > 0:
issues.append(f'{checks["stale_access"]} stale access grants')
if checks['mfa_coverage'] < 100:
issues.append(f'MFA only at {checks["mfa_coverage"]}%')
return {'checks': checks, 'issues': issues}
2. Configuration Drift Detection
def detect_config_drift():
expected = load_expected_config()
actual = get_current_config()
drift = []
for key in expected:
if expected[key] != actual.get(key):
drift.append({
'setting': key,
'expected': expected[key],
'actual': actual.get(key),
'risk': classify_risk(key)
})
return drift
3. Secret Scanning (Beyond Git)
def scan_for_secrets():
locations = [
'environment_variables',
'config_files',
'docker_compose',
'ci_cd_variables',
'database_stored_configs',
'log_files'
]
findings = []
for location in locations:
secrets = scan_location(location)
if secrets:
findings.extend(secrets)
return findings
4-12: The Complete Checklist
- API endpoint audit — undocumented endpoints
- Dependency license check — GPL in commercial code
- Backup encryption verification — are backups actually encrypted?
- Network segmentation audit — can dev reach prod?
- Log retention compliance — GDPR, CCPA requirements
- Third-party access review — who has access to your data?
- Incident response readiness — when was the last drill?
- Data classification audit — where is sensitive data stored?
- Disaster recovery testing — have you actually restored from backup?
The Automated Audit Script
def run_full_security_audit():
audit_results = {
'access_controls': audit_access_controls(),
'config_drift': detect_config_drift(),
'secrets': scan_for_secrets(),
'api_endpoints': audit_api_endpoints(),
'dependencies': check_dependency_licenses(),
'backups': verify_backup_encryption(),
'network': audit_network_segmentation(),
'compliance': check_log_retention(),
'third_party': review_third_party_access(),
'incident_readiness': check_incident_response(),
'data_classification': audit_data_classification(),
'disaster_recovery': test_disaster_recovery()
}
total_issues = sum(len(v.get('issues', [])) if isinstance(v, dict) else len(v) for v in audit_results.values())
return {
'total_checks': 12,
'total_issues': total_issues,
'results': audit_results,
'risk_level': 'high' if total_issues > 10 else 'medium' if total_issues > 5 else 'low'
}
The Results
After implementing this 12-point audit:
- Security incidents: 5/month → 1/month
- Audit time: 2 days → 2 hours
- Compliance: 100% pass rate
- Confidence: Know exactly where you stand
Get the Complete Audit Kit
Security Audit Kit - $19
- All 12 audit scripts
- Configuration templates
- Risk classification framework
- Get Security Audit Kit
Operations Mega Bundle - $49 (Save 45%)
- Security Audit + 4 other operations kits
- 34 files total, lifetime updates
- Get Operations Mega Bundle
Your Next Step
Run the access control audit today. It takes 15 minutes and catches the most common security gaps.
When was your last security audit? Comment below.
AI finds vulnerabilities. Humans find risks.
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