XBOW

Autonomous pentesting that proves every finding with a working exploit

Advanced API
Screenshot of XBOW, Autonomous pentesting that proves every finding with a working exploit

What is XBOW?

XBOW is an autonomous offensive security platform that tests web applications and APIs, proves each vulnerability with a reproducible exploit, and re-tests fixes. It runs continuously, on demand or through an API, with scope, impact and safety controls, and is built for security teams that need pentest depth across a large portfolio.

XBOW is an autonomous offensive security platform aimed at the applications and APIs an organization exposes. Rather than reporting a list of suspected weaknesses, it attempts real attacks, chains vulnerabilities together the way a skilled human tester would, and only surfaces a finding once an independent validator has reproduced the exploit. After the engineering team ships a fix, XBOW re-tests the same issue and confirms it is closed. The workflow starts with context. A user points XBOW at a target and optionally supplies documentation, credentials, API specifications, architecture notes or source code. More input generally means deeper coverage, though the platform can run with none. XBOW then maps applications, endpoints, parameters and authentication flows before a coordinator decides what to test and in what order. Short-lived agents, each with one objective and fresh context, execute the attacks in parallel using standard and custom tooling plus a steerable headless browser. Findings arrive with the full attack chain, the working exploit and a log of every decision the agents made. Controls sit around all of that. Scope, protected URLs and allowlisted paths define what can be touched, while impact levels (off, moderate or deep), rate limits and testing windows manage load. A safety judge reviews actions before execution and a command checker blocks destructive behavior. Every action is logged, traffic can be tagged with custom headers, and assessments can be paused. The onboarding path is deliberately gradual: unauthenticated external testing first, then a targeted run, then authenticated coverage. XBOW suits security teams that already run manual pentests and want wider coverage at release cadence, and organizations that need evidence auditors will accept. The XBOW API launches assessments programmatically, and findings can be pulled into Jira, GitHub issues or coding agents. It is not a substitute for a vulnerability scanner's price point: teams comparing it with conventional scanners are really comparing a premium pentest against continuous, proven exploitation.

How do you use XBOW?

  1. 1Book a demo and get access
    XBOW is sold through a demo rather than self-serve signup. Use the demo form to discuss scope, targets and which applications you want in the first run.
    XBOW — Book a demo and get access
  2. 2Point XBOW at a target and add context
    Supply a URL plus any documentation, credentials, API specs, architecture notes or source code you can share. Extra context lets the platform map deeper.
  3. 3Set scope and impact level
    Inside the console, define protected URLs and allowlisted paths, then pick an impact level of off, moderate or deep along with rate limits and an allowed testing window.
  4. 4Run an unauthenticated assessment first
    Start with external unauthenticated testing on a low-risk application, review the logged actions, then move to a targeted and finally an authenticated run.
  5. 5Review proven findings and open a trace
    Each verified finding opens a complete attack flow: the chained path, the working exploit and the agent log. Findings are reviewed before they reach you.
  6. 6Wire assessments into your pipeline
    Use the XBOW API to launch assessments programmatically and pull findings into Jira, GitHub issues or your coding agents. The API reference covers the endpoints.
    XBOW — Wire assessments into your pipeline

Pros and cons

Pros

  • Every finding is backed by a working, independently validated exploit rather than a suspected weaknessAI
  • Full attack chain and agent decision log are exposed for each finding, so reviewers can audit the reasoningAI
  • Granular governance: scope, protected URLs, impact levels, rate limits, testing windows and a safety judge that reviews actionsAI
  • Portfolio-scale testing with a documented API for launching assessments on your own release cadenceAI
  • A gradual adoption path from unauthenticated external testing to authenticated production coverageAI

Cons

  • Pricing is not published anywhere on the homepage, so budgeting requires a sales conversationAI
  • Meaningful coverage depends on working credentials, network access and a curated target list, which the onboarding team has to help assembleAI
  • Results lean on frontier model routing that changes over time, so behavior is not a fixed, version-pinned snapshotAI
  • The platform is built for authorized testing only, which makes it unsuitable for anyone without formal scope over the targetsAI
  • Homepage claims around compliance frameworks and auditor acceptance are not backed by published technical detail on the pageAI

How much does XBOW cost?

Support

An onboarding team helps with credentials, network access and target lists, including sorting thousands of URLs down to real targets. Documentation and an API reference are published separately.

Learn more

Integrations

Findings can be pulled into Jira, GitHub issues or the coding agents a team already runs. The XBOW API launches assessments programmatically, with an interactive API reference available in the docs.

Learn more

Features

Autonomous assessment covering web applications and APIs, authenticated or not, in production or staging. A coordinator directs thousands of short-lived attack agents, validators confirm each exploit is reproducible, and XBOW re-tests after fixes. Controls include scope definition, impact levels, rate limits, testing windows, a safety judge and a command checker. Every action is logged, and reports include evidence, severity and developer-ready remediation.

Frequently asked questions about XBOW

  • Does XBOW have an API?
    Yes, XBOW offers an API.
  • How do you use XBOW?
    The walkthrough on this page covers 6 steps: 1. Book a demo and get access 2. Point XBOW at a target and add context 3. Set scope and impact level 4. Run an unauthenticated assessment first 5. Review proven findings and open a trace 6. Wire assessments into your pipeline.
  • What platforms does XBOW support?
    XBOW is available on Web App.
  • What does XBOW integrate with?
    Findings can be pulled into Jira, GitHub issues or the coding agents a team already runs. The XBOW API launches assessments programmatically, with an interactive API reference available in the docs.
  • What are the limitations of XBOW?
    Pricing is not published anywhere on the homepage, so budgeting requires a sales conversation. Meaningful coverage depends on working credentials, network access and a curated target list, which the onboarding team has to help assemble. Results lean on frontier model routing that changes over time, so behavior is not a fixed, version-pinned snapshot.

Status

StatusActive
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Added10/21/2026

Platforms

Web App

Pricing

Paid