Armadin, an AI-native offensive cybersecurity company, announced the appointment of George Kurtz as an independent member of its Board of Directors, effective immediately.
Kurtz brings more than 30 years of cybersecurity leadership to the Armadin board, including his tenure as founder and CEO of CrowdStrike, where he built one of the world’s most consequential security platforms. He previously served as Worldwide Chief Technology Officer at McAfee and founded Foundstone, which McAfee acquired in 2004. He is the co-author ofย Hacking Exposed: Network Security Secrets and Solutions, a foundational text in offensive security methodology.
“George has spent his career on the front lines helping the most important organizations operate securely in the cyber domain,” said Kevin Mandia, CEO of Armadin. “George understands the shift change in cybersecurity: AI has given us the means to scale the world’s best ethical hackers to find exploitable risk and to fine-tune defenses for autonomous response. George’s execution talent is second to none. I look forward to accelerating the growth ofย Armadin with his guidance.”
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Kurtz’s track record spans company building, platform commercialization, and sustained growth through periods of significant industry change. His experience operating across offensive intelligence, enterprise security, and agentic AI aligns directly with Armadin’s mission to eliminate exploitable risk across the full attack surface.
“Armadin is solving a problem that the security industry has largely worked around rather than through,” said Kurtz. “Most organizations still rely on point-in-time assessments to answer a question that requires continuous, evidence-based proof. I’ve known Kevin since our Foundstone days, and I am glad to join him and the Armadin team in advancing cybersecurity. I am joining his board because I believeย Armadin is building something the market needs and has not had.””
Armadin exited stealth mode in March 2026 with a platform purpose-built for the age of agentic adversaries. The company’s autonomous AI is trained on real attacker behavior and exposes the actual paths an adversary would take across an organization’s environment, replacing assumptions with continuous, evidence-based proof of exploitable risk.
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