# XBOW

> XBOW's Series C shows buyers are willing to pay for AI systems that continuously probe their own attack surface.

## Why it is interesting

Traditional pentesting is point-in-time, bespoke, and expensive. Modern attack surfaces (SaaS integrations, identity providers, ephemeral cloud workloads) change faster than human-led audits can cover. - Attack surface is expanding with every new SaaS tool adoption. - Regulators and cyber insurers want continuous validation, not annual audits. - LLM-driven agents can reliably execute recon + exploitation chains on many standard vulnerabilities. XBOW's Series C shows buyers are willing to pay for AI systems that continuously probe their own attack surface.

## Profile

- **Stage:** growth
- **Status:** private
- **Industries:** ai-ml, enterprise-saas, cybersecurity, infra-cloud
- **Coverage:** full
- **Last updated:** 2026-03-05

## Key facts

- Disclosed financing: $120M (Series C)
- Covered in 1 Venture Capital Tracker article(s)

## Related articles

- https://venturecapitaltracker.com/2026-xbow-120m-series-c-ai-offensive-security

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Source: https://venturecapitaltracker.com/startup/xbow