Vulnerability Reports Have Tripled Since AI Models Started Finding Bugs Autonomously

Artificial intelligence systems trained to write code have begun identifying vulnerabilities in code at a rate three times higher than the previous baseline. The systems find bugs faster than humans can fix them. The timelines for fixing bugs have not changed. The volume of identified problems has tripled. The capacity to address identified problems remained constant.

This is the standard pattern where automation of detection outpaces automation of remediation. The detection system was built first. The remediation system was not built to scale with the detection system. No one predicted the detection system would be effective. The detection system became effective. The backlog is now the constraint. The backlog grows daily.

The vulnerabilities existed before they were found. Finding them changed nothing about their existence. Now they are known to exist and cannot be fixed at the rate they are discovered. The organizations maintaining the code must choose which unfixed vulnerabilities matter least. The choice will be made by inaction. Some machines will fail in production. This was always going to happen. Now it can be measured.