XBOW ✓

XBOW is an AI-powered autonomous offensive security platform that executes comprehensive penetration tests on web applications. The system uses a unique combination of AI reasoning and offensive security tooling, identifying real and exploitable security vulnerabilities at scale.

XBOW's core operation is driven by autonomous agents that creatively explore web applications for potential vulnerabilities. Findings by these agents are only accepted after exploitability is confirmed through controlled validation to reduce false positives.

This strategy allows XBOW to maintain depth, scale, and trust in its penetration testing. The testing process begins with the user defining the scope and launch.

Clients can manually start an assessment or do so via API, setting targets, boundaries, authentication, and optional context to guide the testing. XBOW autonomously maps the application, identifies entry points, and plans attack paths.

Thousands of independent agents run parallel attacks, adapting based on application responses. Findings are only reported to the client's team once exploitability is confirmed through controlled, non-destructive challenges.To maintain scale and trust, XBOW employs a system of autonomous agents, deterministic validators, and real offensive security tools.

These agents operate at a large scale, focusing on specific targets and attack techniques with human-like reasoning. A shared execution environment allows these agents access to industry-standard and custom-built security tools.

Once the issue is confirmed as truly exploitable, the validated results are promoted to platform intelligence and customer reporting.