We hack software to secure it.
Autonomous, agent-native security systems that attack software the way real attackers do — then prove what breaks with working exploits.

AI writes and ships code faster than humans can review it. We think the next security layer has to attack continuously, prove impact with evidence instead of scores, and hand engineers — and AI agents — a reproducible fix.

Most AI-reliability tooling measures prompts, traces, and outputs. We care about whether a capable system can actually be broken, exploited, or pushed outside its intended bounds — and whether you can reproduce it.

•   pwnkit — our autonomous hacking engine. Research agents find vulnerabilities; independent verify agents re-exploit each one and kill anything they can't reproduce. Closed source.
•   0cloud — the managed product around pwnkit: scoped targets, recurring runs, exploit-backed evidence, and triage workflows. → 0sec.ai
•   0verse — a binary-native Cyber Reasoning System. Point it at a compiled program — no source — and it runs the full find → prove → patch → verify loop, every finding backed by a reproducing proof-of-vulnerability. Private during MVP.
•   foxguard — open-source, linter-fast security scanning across 12 languages: rules, taint tracking, secrets, dependency and post-quantum crypto audits. Our open trust signal.
•   opensoar — open-source SOAR: routing validated failures into real operator response and orchestration workflows.
•   noeris — our research OS for autonomous empirical discovery, currently led by a flagship GPU kernel-optimization track.

•   attacks and working exploits, not happy-path evals
•   evidence-backed findings, not vibe-based scores
•   prevention and response, not detection alone

AI agents are being shipped into real workflows faster than teams can verify them. The bottleneck is no longer generation — it's trust. 0sec Labs exists to close that gap.

_{Built in Switzerland · 0sec.ai}