XBOW
Best for autonomous AI penetration testing and vulnerability assessmentXBOW is an autonomous penetration testing platform powered by AI agents that simulate the behavior of skilled human attackers. Rather than running a static vulnerability scanner, XBOW's agents reason about target environments, plan attack paths, attempt exploitation, and adapt their strategy based on what they find—mimicking the iterative, creative process of a real red team engagement. The platform supports black-box, grey-box, and authenticated testing modes, making it applicable across the full range of assessment scenarios. XBOW agents probe web applications, APIs, internal services, and cloud configurations, chaining together vulnerabilities to demonstrate real-world exploitability rather than just listing CVEs. When the agent successfully exploits a vulnerability, it documents the complete attack chain with reproduction steps, severity context, and suggested fixes. For security teams, XBOW enables continuous offensive testing at a cadence that manual pen tests cannot match. Organizations can run automated assessments on every code deployment, catching security regressions before they reach production. The platform's findings are presented in prioritized, actionable reports that distinguish theoretical vulnerabilities from confirmed exploitables—a distinction that helps engineering teams allocate remediation effort efficiently. XBOW also supports custom attack scenario definitions, allowing red teams to focus autonomous agents on specific threat models relevant to their environment. This makes it a practical force multiplier for human red teams who want to automate reconnaissance and low-level exploitation while reserving their expertise for complex, logic-layer attacks. The platform is particularly valuable for product security teams with frequent release cycles.
AI Models
Key Features
- Autonomous multi-step exploitation with adaptive attack path planning
- Black-box, grey-box, and authenticated testing modes
- Web application, API, and cloud configuration assessment
- Vulnerability chaining to demonstrate real-world exploitability
- Complete attack chain documentation with reproduction steps
- Continuous testing integration with CI/CD pipelines
- Custom attack scenario definitions for targeted threat modeling
- Prioritized reports distinguishing theoretical vs. confirmed exploitables
Integrations
Pricing
Up to 5 targets, continuous scanning, standard reporting, email support
Up to 25 targets, CI/CD integration, custom scenarios, priority support
Unlimited targets, white-label reports, API access, dedicated red team support
Pros & Cons
Pros
- Continuous autonomous pen testing catches regressions before production
- Exploit chaining proves real-world impact beyond theoretical CVE listings
- Custom scenario support focuses agents on organization-specific threat models
Cons
- Autonomous exploitation requires careful scope controls to avoid unintended impact
- Does not fully replicate the creative judgment of senior human penetration testers