/w=1920,quality=90,fit=scale-down)
Veria Labs is building AI pentesting agents that continuously find and fix security vulnerabilities.
Veria Labs
Veria Labs is an AI-native offensive security company built by three of the sharpest hackers we’ve met: the core of the #1-ranked US competitive hacking team. They’re building AI pentesting agents that plug directly into the CI/CD pipeline to continuously find and help fix security vulnerabilities as new code ships—exploiting issues to prove they’re real, then drafting tickets and code changes for engineers to review. Instead of adding to the pile of noisy alerts, Veria focuses on one thing: high-confidence, exploitable bugs that actually matter, and their agents have found high-severity vulnerabilities for every customer so far, including a multi-billion-dollar fintech company.
Security is a crowded, noisy market, but it’s also too important and too big for us to believe it’s “solved.” Our excitement here is simple: rare founder–market fit in a space that’s going to keep evolving as software gets easier and faster to build. The Veria founders are young, world-class hackers and outsiders to traditional enterprise security, with years of competing together as a team. They’re productizing their own playbook for how to break systems, and doing genuinely interesting work in multi-agent orchestration.
Founders
Stephen was previously working in Offensive Security at TikTok and is a member of the #1 ranked U.S. competitive hacking (CTF) team. He also has a background in computational physics research. He writes at https://stuxf.dev/rss.xml.
Cayden has prior experience in Web3 security, where he developed fuzzers for crypto and zero-knowledge protocols. Outside of security work, he was a recruited collegiate swimmer and is also a member of the #1 U.S. competitive hacking (CTF) team.
Jayden was the president on the #1 U.S. competitive hacking (CTF) team and previously bootstrapped a side project to $8 k MRR. He’s described as someone that can look at a website, and ten minutes later, find some crazy bug no one's ever really thought of before.