XBOW

XBOW is the autonomous offensive-security company, applying AI reasoning and adversarial workflows modeled on real-world attack techniques to find and validate vulnerabilities at machine speed. It became the first AI to reach the top spot on HackerOne's US bug bounty leaderboard, ranking above every human researcher, and has surfaced more than 200 zero-days with a near-zero false-positive rate, including a 9.8 critical Microsoft flaw it found entirely on its own. Architecturally, a coordinator decides what to test, where, and in what order, then directs a fleet of thousands of agents that attack in parallel, reasoning through and chaining vulnerabilities with an extensive offensive toolkit to reach non-obvious paths that scanners and point-in-time pentests miss. The system runs the entire pentest autonomously, from the context you give it to a confirmed, working exploit, continuously re-testing every time applications change, so risk is measured every day rather than estimated once a year. Autonomy is paired with governance: customers define scope, every action is logged and auditable, and deployment aligns with data separation, residency, and compliance requirements (SOC 2, ISO 27001, PCI DSS, NIS 2), with XBOW Guardrails enforcing the boundaries enterprise security requires. Products include the continuous platform and XBOW Pentest On-Demand (from $6,000). Founded by GitHub Copilot and CodeQL creator Oege de Moor and backed by a $120M raise, XBOW anchors the offensive/pentest cluster of the security lane, distinct from the defensive AI SOC analyst tier.