Try XBOW
Overview
XBOW is the most consequential thing to happen to penetration testing in a decade, and the funding reflects it: $120 million in Series C at a valuation above $1 billion, with strategic investment from Accenture. The product is an autonomous offensive security platform — AI agents that probe your systems the way an attacker would, find exploitable paths, and prove them rather than listing theoretical risks.
The distinction between finding and proving is the whole point, and anyone who has worked a vulnerability queue understands why. Traditional scanners produce thousands of findings ranked by CVSS, most of which are not exploitable in your specific configuration, and the security team burns its week on triage rather than on fixing. XBOW chains steps the way a human tester does and demonstrates the actual exploitation path, which turns a list of maybes into a short list of definites.
The economic argument is continuity. An annual penetration test is a snapshot of a system that changes weekly; between engagements you are guessing. Autonomous testing runs continuously, which matches how software actually ships in 2026. It does not replace a skilled human red team — creative attack chains, social engineering and business logic abuse remain human territory — but it does replace the repetitive eighty per cent that consumes most of a test's hours.
Key Features
Autonomous Exploitation Chains
Agents chain vulnerabilities into working attack paths rather than reporting isolated findings, which is the difference between a scanner and a tester.
Validated, Not Theoretical
Findings come with a demonstrated exploitation path, eliminating the false-positive triage that consumes most vulnerability management time.
Continuous Testing
Runs against every change rather than annually, matching the pace at which modern systems actually ship.
Broad Attack Surface Coverage
Web applications, APIs and infrastructure tested as a connected system rather than in isolation.
Security Platform Integration
Integrates into existing security tooling, including Microsoft Security Copilot, so findings reach the workflows teams already run.
Prioritisation by Real Exploitability
Severity reflects what an attacker could actually do in your environment, not a generic CVSS score assigned without context.
Pros & Cons
Advantages
- Validated exploitation paths eliminate false-positive triage
- Continuous testing closes the gap between annual pentest snapshots
- Strong funding and Accenture backing reduce vendor risk
- Integrates with existing security platforms rather than replacing them
- Frees human red teamers for the creative work only they can do
Disadvantages
- Enterprise pricing puts it out of reach for smaller organisations
- Does not replace human red teaming for business logic and social engineering
- Autonomous testing against production requires careful scoping and authorisation
- Young company in a category still establishing its practices
Pricing Plans
| Plan | Price | Key Features |
|---|---|---|
| Enterprise | Custom | Scoped to attack surface size and testing frequency |
Best Use Cases
XBOW Excels At:
- Organisations shipping frequently where annual pentests are structurally inadequate
- Security teams drowning in unvalidated scanner output
- Continuous validation of web application and API attack surface
- Freeing scarce offensive security talent from repetitive testing
May Not Be Ideal For:
- Small organisations without enterprise security budget
- Compliance regimes that specifically require a human-signed penetration test
- Business logic and social engineering assessment
How It Compares
XBOW vs traditional vulnerability scanners
Scanners report what might be vulnerable; XBOW demonstrates what is. The practical difference is where your team's week goes — triaging theoretical findings, or fixing proven ones.
XBOW vs a human red team
Complementary rather than competing. XBOW covers the repetitive, broad-surface testing continuously; humans remain irreplaceable for creative attack chains, business logic abuse and anything involving people. Using XBOW to buy back human hours is the correct framing.
Final Verdict
Our Recommendation
XBOW is the clearest example of AI doing security work that was genuinely painful rather than merely tedious. Validated exploitation paths solve the single biggest failure of vulnerability management — teams spending their capacity proving findings wrong instead of fixing the ones that matter — and continuous testing fits how software actually ships. It is enterprise-priced and it is not a replacement for skilled humans; treat it as the tool that gives your red team its time back. Scope authorisation carefully before pointing autonomous testing at anything production-facing.