AI Generates Code Faster Than Humans Can Secure It

AI-generated code is accelerating development at an unprecedented pace, but security can't keep up. Traditional vulnerability scanners produce 30–50% false positive rates, burying real threats in noise. Manual penetration testing happens quarterly at best, leaving months of exposure between assessments. As attack surfaces grow, the gap between code velocity and security coverage widens.

What They're Building

MindFort builds fully autonomous agents that discover, validate, and remediate web application vulnerabilities at machine speed. The platform uses the same principles as human pentesters but runs continuously across an organization's entire attack surface. On every CI/CD push, MindFort chains vulnerabilities into validated findings with working exploit proofs and ships fixes as pull requests.

The system is powered by MF-1, a proprietary model purpose-built for offensive security, combined with HillClimb recursive learning. The result is less than 1% false positives — a dramatic improvement over the 30–50% industry standard. With a 2-person team, MindFort has already reached $220K in ARR.

Growth

MindFort raised a $3M seed round and was accepted into Y Combinator's X25 batch. The company's autonomous pentesting agents run on every CI/CD push, providing continuous security validation that replaces periodic manual assessments with always-on coverage.