XBOW, an autonomous offensive security company focused on AI-driven cybersecurity testing, raised an additional $35 mn in Series C financing from strategic investors including Accenture Ventures, DNX Ventures, Liberty Global Tech Ventures, NVentures, Samsung Ventures, and SentinelOne S Ventures.
The funding expands XBOW’s previously announced $120 mn Series C round and reflects growing enterprise demand for continuous AI-powered offensive security testing.
The company says customers increasingly want systems capable of operating at the same speed and scale as modern attackers.
Traditional penetration testing models rely heavily on human specialists performing periodic assessments across limited attack surfaces. AI changes the economics completely.
Automated attackers can now probe systems continuously across every deployment, release cycle, and exposed endpoint without the staffing limits human operators once faced.
According to Beinsure analysts, cybersecurity markets are shifting toward continuous validation and autonomous testing systems because AI-assisted attacks scale faster than most enterprise security teams can manually respond. Static security assessments no longer match modern deployment cycles.
XBOW built its platform around offensive security automation. The system uses AI models to identify and exploit vulnerabilities in applications using attacker-style workflows running continuously instead of through one-time penetration tests.
The platform validates exploitability directly, helping security teams prioritize actionable vulnerabilities while reducing false-positive noise generated by conventional scanning tools.
The company says its platform also confirms whether findings surfaced by other security tools represent real operational threats or harmless alerts.
That distinction matters more as enterprise software environments grow larger and development cycles accelerate.
Security teams increasingly struggle with validation backlogs, duplicated alerts, and fragmented vulnerability management systems generating more findings than analysts can realistically process.
XBOW argues offensive testing needs to become continuous infrastructure rather than episodic consulting work.
Oege de Moor, founder and CEO of XBOW, said the company learns directly from enterprise security teams operating at massive scale and uses those insights to improve defensive tooling faster. He added that strategic customers investing alongside the company creates tighter alignment between operational security needs and platform development.
“The attacker’s point of view is foundational to defense, but difficult to operationalize. XBOW changes this by surfacing exploitable and novel findings at machine speed,” said Alex Krongold, Director, Corporate Development & Ventures, SentinelOne.
Each XBOW agent operates like an extension of our in-house red team, allowing us to scale offensive testing with speed and depth that was previously out of reach.
XBOW now serves more than 100 customers globally, including Moderna, Seznam, and several strategic investors participating in the financing round.
Alex Krongold, director of corporate development and ventures at SentinelOne, said attacker-style testing remains foundational to modern cybersecurity defense strategies but historically proved difficult to scale operationally.
According to Krongold, XBOW’s autonomous agents function similarly to extensions of internal red teams while operating continuously at machine speed.
The company also plans to use the funding to accelerate international expansion.
DNX Ventures will support broader expansion across Asia-Pacific markets, while Samsung will operate as a preferred reseller in South Korea.
XBOW says the partnership strengthens regional distribution and partner infrastructure as demand grows among enterprise security teams in the region.
Samsung Ventures representatives said organizations increasingly seek continuous and intelligent security testing systems capable of identifying real-world operational risks quickly and accurately.
XBOW recently surpassed 250 employees and continues hiring across engineering, operations, and go-to-market teams.
Cybersecurity vendors increasingly market AI-enabled defenses, though many systems still depend heavily on reactive monitoring workflows and manual analyst review.
XBOW positions itself differently by focusing directly on autonomous offensive testing rather than detection alone.
The company’s larger argument is fairly blunt. If attackers now operate continuously with AI support, defenders probably need systems capable of doing the same.
