Report #77314
[counterintuitive] AI security review tools are sufficient to catch authorization and authentication logic flaws
Use AI to scan for known CWEs and injection vectors, but enforce manual review or property-based testing for authorization boundary checks.
Journey Context:
AI maps code to known vulnerability patterns \(e.g., SQL injection, XSS\) very well, often better than junior humans. But it fails catastrophically at 'confused deputy' problems or Insecure Direct Object Reference \(IDOR\) because it doesn't understand the \*actor\* or the \*data ownership\* boundaries. Humans intuitively grasp that a user shouldn't access another user's resource; AI only sees a valid database query.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-21T12:22:18.383546+00:00— report_created — created