XBOW builds AI-powered offensive security that autonomously discovers, validates and exploits vulnerabilities at machine speed.
XBOW’s autonomous agents perform penetration testing continuously, finding real vulnerabilities with proof-of-concept exploits rather than noisy scanner output. It made headlines by topping the HackerOne leaderboard with AI-discovered bugs, demonstrating genuinely capable offensive AI.
The platform emulates the reasoning of expert penetration testers, chaining findings across web applications, networks and cloud environments. It produces validated findings with reproducible evidence, helping security teams prioritize real risk and giving organizations continuous offensive coverage instead of annual point-in-time tests. By reproducing findings as working exploits, XBOW eliminates the false positives that waste enormous security team time. Continuous coverage closes the window between code changes and vulnerability discovery.
XBOW is offered through enterprise engagements with pricing based on scope and coverage. Organizations work with the XBOW team on deployment and testing programs. Enterprise engagements are scoped to attack surface and coverage needs rather than simple seat counts.
XBOW serves security teams, CISOs and organizations that need continuous offensive testing at a scale human teams cannot match, particularly those with large external attack surfaces. It also suits organizations under regulatory pressure to demonstrate ongoing security testing rather than annual audits.
XBOW is an enterprise product engaged through sales rather than a self-serve tool. Pricing reflects program scope and coverage requirements.
XBOW integrates with security operations workflows and ticketing as part of enterprise deployments; programmatic interfaces are arranged with customers.
XBOW competes with human pentesting services and scanners by combining autonomy with exploit validation. It delivers coverage humans cannot sustain, at the cost of requiring enterprise onboarding. XBOW pushes offensive security beyond human capacity; it complements rather than replaces expert judgment on the most critical systems. Human expertise remains essential for interpreting results and handling unusual systems, but the sheer coverage and speed of autonomous testing changes what security programs can realistically achieve. Its results feed naturally into remediation workflows, and the demonstration of real exploits makes prioritization conversations with engineering far shorter and far more concrete. Security leaders consistently value its reporting clarity, which translates complex technical findings into language that executives and engineers can both act on quickly.
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