Proof of Quality: Stop AI False Positives
Summary
In the Sapien server announcement we explain how AI security tools changed auditing economics and created cheaper, faster candidate vulnerabilities that often lack provable validity. False positives consume senior auditor time and erode trust. Sapien introduces Proof of Quality to add expert review, clear rubrics, reviewer agreement, severity calibration, and a provable record so teams can separate confirmed risk from noise.
In today's blog post, we explore how AI security tools changed the economics of security auditing.
Candidate vulnerabilities are now cheaper and faster to generate, but we have no way of proving outright whether a finding is actually to be believed. False positives consume senior auditor time, delay remediation, confuse clients, and weaken trust in the final report.
The next phase of AI-assisted security work needs a stronger validation layer: qualified expert review, clear rubrics, reviewer agreement, severity calibration, and, most importantly, a provable record behind every decision.
Sapien’s Proof of Quality turns AI-generated findings into verified security signals, helping teams separate confirmed risk from noise at the speed AI now demands.
Read more: https://www.sapien.io/blog/false-positives-are-the-hidden-cost-of-ai-security-tools
