Bartley Richardson leads CrowdStrike's AI security shift

The former Nvidia engineer is building autonomous systems that fight AI attacks without requiring human oversight.

Sep 22, 2026

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Bartley Richardson leads CrowdStrike's AI security shift

The former Nvidia engineer is building autonomous systems that fight AI attacks without requiring human oversight.

In brief

The former Nvidia engineer is building autonomous systems that fight AI attacks without requiring human oversight. The future of cybersecurity is autonomous AI systems that learn and defend continuously, removing the burden from human operators. Originally reported by TIME.

Richardson joins CrowdStrike as AI chief

Former Nvidia engineer Bartley Richardson became chief AI and autonomous systems officer at cybersecurity company CrowdStrike in June 2026.

The best security you don't think about

Richardson believes that once consumers trust AI systems, they'll stop seeing them as "AI" and just use them like any other tool, such as grammar check in word processors.

“The best security is the security you don't have to think about.”

New Cyber Superintelligence Lab launches

New Cyber Superintelligence Lab launches

Richardson leads CrowdStrike's new Cyber Superintelligence Lab, an AI research facility dedicated to building autonomous cybersecurity systems that operate without constant human intervention.

SafeMind pairs offense and defense

The lab's first release, SafeMind, is an agentic system that combats AI attacks by pairing an offensive cybersecurity model with a defensive one, creating an autonomous loop of learning and remediation.

Defenders finally get the advantage

Richardson argues that attackers only need to succeed once, but defenders must succeed every time. SafeMind's automation gives defenders the upper hand by enabling continuous, autonomous response.

“An attacker has to be right once, but the defender has to be right all the time.”

What to remember

The future of cybersecurity is autonomous AI systems that learn and defend continuously, removing the burden from human operators.

Read the original on TIME

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