It wasn’t a hacker. It wasn’t bad code. It was designed failure—triggered on purpose—to prove a point. Automated access reviews work well when everything is calm, but you don’t discover their hidden fractures until you throw them into disorder. That’s where chaos testing comes in, and that’s where the most reliable systems are born.
Automated access reviews are critical for security and compliance. They decide who gets to do what across the systems that run your business. But these reviews often assume the world is static. They assume policies are perfect. They assume the data from integrated systems is correct. All of those are dangerous assumptions.
Chaos testing smashes those assumptions by injecting real, unpredictable disruptions into the process. User data coming in corrupted. Role definitions changing mid-review. API responses failing or sending inconsistent payloads. Approval logic receiving unexpected inputs. The test doesn’t ask “will the system work?” It asks “will the system fail, and when it does, will it fail loud enough to fix fast?”
The most valuable part of chaos testing is not finding the first bug—it’s revealing the patterns behind all failures. Maybe managers never review certain accounts when a service is down. Maybe the system silently skips a user if their department field returns null. Maybe an entire category of accounts is never re-validated when a permission changes outside the regular cycle. Chaos testing forces those truths into daylight.