XBOW

What XBOW does

XBOW is an autonomous offensive security company that redefines cyber defense for the AI era. It combines AI reasoning with offensive security workflows to deliver expert-level security testing at machine speed. The XBOW platform empowers security teams to transform from reactive to proactive defense at AI scale, providing autonomous offense as the best defense. It is proven against the world's best hackers, having been ranked above human researchers and on Microsoft's MSRC leaderboard. XBOW finds and proves exploitable flaws across the attack surface continuously, allowing security teams to know what to fix first and measure risk daily. It explores applications and APIs like a real attacker, chaining vulnerabilities into working attacks and independently proving exploitability. The platform offers full autonomy with governance for production environments, aligning with data separation, residency, and compliance requirements (SOC 2, ISO 27001, PCI DSS, NIS 2). XBOW extends security teams with autonomous hackers that discover, chain, and exploit vulnerabilities, proving every finding with a working exploit, without scheduling or waiting for pentest windows. It runs the entire pentest autonomously and continuously, from context provision to confirmed, working exploits, every time applications change. The XBOW API allows for programmatic and scalable pentest launches across all shipped assets, enabling teams to find and prove flaws on their own release cadence.

Products

• XBOW Autonomous Offensive Security PlatformAn AI-driven platform for continuous offensive security and penetration testing with real exploit validation. It discovers, chains, and exploits vulnerabilities across the attack surface, proving every finding with a working exploit. The platform operates autonomously and continuously, providing actionable results with developer-ready remediation and reporting.
• XBOW APIA REST API that allows programmatic and scalable launching of pentests. It enables integration of XBOW's capabilities into existing workflows, allowing teams to pull findings and feed reproducible proof into their tools. It supports registering assets, launching pentests, and fetching findings, with webhooks for real-time updates.

Key capabilities

• Autonomous hacker capabilities
• AI reasoning combined with offensive security workflows
• Expert-level security testing at machine speed
• Continuous exploitability proof across attack surface
• Creative discovery and real proof of exploitability
• Full autonomy with enterprise governance (SOC 2, ISO 27001, PCI DSS, NIS 2)
• Chains vulnerabilities into real attack paths
• Reproducible exploits with board- and auditor-ready reporting
• Near-zero false positives
• Coverage without additional headcount
• End-to-end tracing of every finding (chained attack path, working exploit, decision log, remediation)
• Autonomous and continuous pentesting
• Context-driven deep exploration (docs, credentials, API specs, architecture notes)
• Live mapping of attack surface (applications, endpoints, parameters, auth flows)
• Coordinator for test orchestration and prioritization
• Parallel attacks by thousands of agents
• Extensive offensive toolkit (industry-standard and custom tools, steerable headless browser)
• Independent validators for exploitability confirmation
• Actionable results with verified findings and clear evidence
• Programmatic pentest launches via API
• Integration with cloud marketplaces (AWS, Google, Oracle, Microsoft)
• Webhooks for real-time finding updates

Use cases

• Redefining cyber defense for the AI era
• Transforming security teams from reactive to proactive defense
• Finding and proving exploitable flaws continuously
• Measuring risk daily instead of estimating annually
• Exploring applications and APIs like a real attacker
• Chaining vulnerabilities into working attacks
• Independently proving exploitability before findings reach the team
• Testing every application continuously as it changes
• Scaling security testing with attack surface, not headcount
• Extending security teams with autonomous hackers
• Discovering, chaining, and exploiting vulnerabilities across the attack surface
• Running entire pentests autonomously and continuously
• Triggering pentests programmatically and at scale
• Pre-release security gate (triggering pentests on merge or pre-deploy)
• Portfolio coverage on cadence (triggering per-asset pentests from schedulers or CI)
• Proof-first vulnerability management (sending only proven findings to SIEM, vuln management, ticketing)
• Custom dashboards and reporting (pulling findings and intelligence into internal tools)

AI approach

XBOW is an autonomous offensive security company that uses AI reasoning combined with offensive security workflows to deliver expert-level security testing at machine speed. It employs autonomous hackers to discover, chain, and exploit vulnerabilities, proving every finding with a working exploit. The platform learns from context, maps attack surfaces, coordinates attacks with a decision engine, and uses thousands of agents in parallel to reason through and chain vulnerabilities. Independent validators confirm exploitability to minimize false positives.

Tech named: AI reasoning, autonomous hackers, decision engine, independent validators

Industries served

• Computer and Network Security
• Biotech

What it says sets it apart

• Autonomous hacker proven against the world's best (ranked above human researchers, Microsoft MSRC leaderboard)
• Finds and proves flaws attackers would actually exploit
• Proves exploitability continuously, not just finding flaws
• Chains vulnerabilities into real attack paths that scanners and point-in-time pentests miss
• Provides proof, not noise, with near-zero false positives
• Every finding is a complete case file with reproducible exploit and full log of decisions
• Scales with attack surface, not headcount
• Extends teams with autonomous hackers that discover, chain, and exploit vulnerabilities
• Runs entire pentest autonomously and continuously
• Independent validators confirm exploitability, eliminating false positives from AI hallucinations
• Built by creators of GitHub Copilot and GitHub Advanced Security
• Offers usage-based pricing that scales with coverage, not fixed annual engagement

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.