Question 1

What is XBOW?

Accepted Answer

XBOW is the autonomous offensive-security company, applying AI reasoning and adversarial workflows modeled on real-world attack techniques to find and validate vulnerabilities at machine speed. It became the first AI to reach the top spot on HackerOne's US bug bounty leaderboard, ranking above every human researcher, and has surfaced more than 200 zero-days with a near-zero false-positive rate, including a 9.8 critical Microsoft flaw it found entirely on its own.

Architecturally, a coordinator decides what to test, where, and in what order, then directs a fleet of thousands of agents that attack in parallel, reasoning through and chaining vulnerabilities with an extensive offensive toolkit to reach non-obvious paths that scanners and point-in-time pentests miss. The system runs the entire pentest autonomously, from the context you give it to a confirmed, working exploit, continuously re-testing every time applications change, so risk is measured every day rather than estimated once a year.

Autonomy is paired with governance: customers define scope, every action is logged and auditable, and deployment aligns with data separation, residency, and compliance requirements (SOC 2, ISO 27001, PCI DSS, NIS 2), with XBOW Guardrails enforcing the boundaries enterprise security requires. Products include the continuous platform and XBOW Pentest On-Demand (from $6,000). Founded by GitHub Copilot and CodeQL creator Oege de Moor and backed by a $120M raise, XBOW anchors the offensive/pentest cluster of the security lane, distinct from the defensive AI SOC analyst tier.

Question 2

How much does XBOW cost?

Accepted Answer

XBOW Pentest On-Demand starts at $6,000 per engagement, positioned to let companies of all sizes test early and often; the continuous platform for enterprise is quoted by sales.

Question 3

What does XBOW integrate with?

Accepted Answer

Point XBOW at a target URL and hand it whatever context exists (docs, credentials, API specs, architecture notes); it builds a live map of the attack surface (applications, endpoints, parameters, auth flows), reasons through and chains an extensive offensive toolkit, and integrates into pre-production and CI workflows to test continuously as applications change; findings come as reproducible, exploit-validated proof with board- and auditor-ready reporting.

Question 4

Who is XBOW for?

Accepted Answer

enterprise security and offensive-security teams, Fortune 500 and global enterprises, application security and product security teams, companies needing continuous compliance-grade pentesting

Question 5

What are the best alternatives to XBOW?

Accepted Answer

Based on documented capability coverage across the Agentic Index 14 point taxonomy, the closest alternatives to XBOW among security and SOC agents are Horizon3.ai, WitnessAI, Operant AI, Zenity. Each is graded on the same public evidence, and no vendor pays for placement.

Question 6

Does XBOW have SOC 2, SSO and role based access control?

Accepted Answer

Full under the Agentic Index verification standard. XBOW publishes public evidence of enterprise security and identity controls, covering a compliance posture such as SOC 2 or ISO 27001, single sign on (SSO or SAML), and role based access control (RBAC). Evidence basis: Customers define scope, every action is logged and auditable, and deployment aligns with data separation, residency, and compliance requirements across SOC 2, ISO 27001, PCI DSS, and NIS 2, with XBOW Guardrails governing autonomy, XBOW site. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Question 7

Can XBOW be self hosted or run in a private VPC?

Accepted Answer

Full under the Agentic Index verification standard. XBOW publishes public evidence of self hosted or private VPC deployment, along with data residency options for controlling where agent data is processed and stored. Evidence basis: Deployment aligns with the customer's data separation, residency, and compliance requirements, an explicit and deployment-control posture, XBOW site 2026-07-22. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Question 8

Does XBOW give you tracing and observability into agent runs?

Accepted Answer

Full under the Agentic Index verification standard. XBOW publishes public evidence of tracing, observability and audit logging into agent runs, so a team can see what an agent did and why. Evidence basis: Every action is logged and auditable, findings are reproducible exploit-validated proof with board- and auditor-ready reporting, and risk is measured every day, giving first-class observability and auditability, XBOW site 2026-07-22. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Integrations & Tool Calling	Full
Agents reason through and chain an extensive offensive toolkit, ingest target context (docs, credentials, API specs, architecture), and integrate into pre-production and CI workflows, a broad tool-calling and integration surface, XBOW platform and blog 2026-07-22
Workflow Orchestration	Full
A coordinator decides what to test, where, and in what order and directs a fleet of thousands of agents attacking in parallel, running the entire pentest autonomously end to end and chaining vulnerabilities into working attack paths, XBOW platform page 2026-07-22
Knowledge Grounding & RAG	Partial
Grounds each test in the context the customer provides (docs, credentials, API specs, architecture, and white-box source), going deeper the more context it is given, short of a documented knowledge base or retrieval product, XBOW platform and blog 2026-07-22
Human Oversight & Guardrails	Partial
Execution is fully autonomous with no human supervision required, but customers define scope and XBOW Guardrails plus full auditability keep it bounded, a scope-and-guardrail oversight model rather than step-level approval, XBOW site 2026-07-22
Security, Identity & Governance	Full
Customers define scope, every action is logged and auditable, and deployment aligns with data separation, residency, and compliance requirements across SOC 2, ISO 27001, PCI DSS, and NIS 2, with XBOW Guardrails governing autonomy, XBOW site 2026-07-22
Observability & Auditability	Full
Every action is logged and auditable, findings are reproducible exploit-validated proof with board- and auditor-ready reporting, and risk is measured every day, giving first-class observability and auditability, XBOW site 2026-07-22
Memory & State Persistence	Partial
Builds and maintains a live map of the attack surface (applications, endpoints, parameters, auth flows) that persists and updates as applications change, a durable state model short of a documented agent memory layer, XBOW platform page 2026-07-22
Deployment & Data Residency	Full
Deployment aligns with the customer's data separation, residency, and compliance requirements, an explicit and deployment-control posture, XBOW site 2026-07-22
Prebuilt Agents, Templates & Packs	Partial
Ships as a finished, out-of-box autonomous pentester plus a productized Pentest On-Demand offering that needs no scoping setup, a productized starting point short of a customer-facing template or agent library, XBOW site and Business Wire 2026-07-22
Triggers & Channel Coverage	Partial
Runs continuously and re-tests every time applications change, plus on-demand engagements and point-at-a-URL starts, covering continuous, change-triggered, and on-demand modes on a single app and API testing surface, XBOW site 2026-07-22
Model Flexibility & Routing	Unable to verify
No customer facing model choice or routing documented; the AI reasoning stack is internal, XBOW materials 2026-07-22
APIs, SDKs & MCP Extensibility	Partial
Integrates into pre-production and CI workflows and ingests API specs, implying an integration and API surface, short of a documented public SDK or MCP for customer extension, XBOW blog 2026-07-22
Testing, Debugging & Optimization	Unable to verify
XBOW is itself the testing product and validates its own exploits, but exposes no customer-facing tooling to test, debug, or optimize a configurable agent, XBOW materials 2026-07-22
Browser & Computer Use	Unable to verify
Explores applications and APIs like an attacker through an offensive toolkit and HTTP-level interaction rather than documented browser or GUI computer use, XBOW platform page 2026-07-22

XBOW

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