XBOW

Autonomous AI penetration testing at machine scale.

Pentesting· 4.5·0 saves·Paid

Quick facts

Best for
Pentesting
Pricing
Paid
Editor rating
4.5 / 5
Community saves
0
XBOW screenshot 1

About 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.

Pros

  • Comprehensive web app penetration tests
  • Reduces false positives
  • Autonomous exploitation confirmation
  • Can be manually initiated
  • API integration for assessments
  • Autonomous mapping of applications
  • Entry points identification
  • Attack paths planning
  • Parallel attacks by agents
  • Adapts based on app responses
  • Uses real offensive security tools
  • Large scale and focused attacks

Cons

  • Doesn't provide immediate results
  • Lack of mobile application testing
  • Requires manual input for scope
  • Doesn't offer historical data comparison
  • No multi-language support
  • Doesn't support all authentication types
  • Only web application penetration testing
  • No performance or load tests
  • Lack of real-time vulnerability alerts
  • Requires API for automation

Pricing

Pricing model
Paid
    Paid options from
    $4,000
      Billing frequency
      One-time