Former NVIDIA engineering leader for agentic and cybersecurity AI to accelerate CrowdStrike’s AI advantage on the path to AGI
CrowdStrike announced the appointment of Dr. Bartley Richardson as Chief AI and Autonomous Systems Officer. Richardson now leads CrowdStrike’s AI strategy, advancing its structural data advantage into more autonomous, deterministic security outcomes – stopping breaches and accelerating the Company’s lead on the path to artificial general intelligence (AGI).
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CrowdStrike is the leading net data creator in cybersecurity, and the platform of record for stopping breaches. The Falcon® platform generates proprietary, real-time data from customer environments and world-class threat intelligence that no other company has, powering agentic security innovation. As AI drives a surge in exploitable vulnerabilities and adversaries weaponize it to move faster and with greater sophistication, the demand for autonomous, machine-speed response has never been greater.
“CrowdStrike pioneered AI-native cybersecurity. Our data advantage is structural; no one else has the sensors, the telemetry, the expert validation, and the closed-loop system to stop breaches at machine speed,” said George Kurtz, CEO and founder of CrowdStrike. “The best AI builders want to solve the hardest problems with the best data. That’s why Bartley joins us.”
Richardson joins CrowdStrike from NVIDIA, where he led engineering for agentic AI, cybersecurity AI, and AI infrastructure, focused on solving large-scale data challenges and building systems that transform data into AI-driven security outcomes. He led the development of foundational technologies for AI agents, including NVIDIA’s NeMo Agent Toolkit and the AI-Q research assistant, enabling organizations to operationalize AI at scale.
At CrowdStrike, Richardson will advance the Company’s structural AI advantage in pursuit of Security AGI. CrowdStrike’s threat hunters, MDR analysts, and incident responders produce expert-labeled data as a byproduct of operations – cyber Reinforced Learning from Human Feedback at scale – generating signals no frontier model can replicate. By leveraging this AI flywheel, where data, models, agents, and human expertise reinforce one another, he will drive autonomous, deterministic security outcomes at scale while advancing Charlotte AI, the agentic SOC, and AI Detection and Response (AIDR) – extending CrowdStrike’s leadership in AI-native cybersecurity. His goal: drive the SOC to level 5 autonomy, fundamentally changing the dynamics of security outcomes and staffing for cybersecurity in the AI era.
“Cybersecurity is one of the defining challenges of the AI era, encapsulating massive data, constant noise, and the need to make the right decisions in real time,” said Richardson. “Modern cybersecurity isn’t just about stopping threats; it’s ensuring organizations can deploy AI safely, at speed, with confidence. CrowdStrike’s data, platform, and mission put us on the path to deliver security superintelligence, where machines and humans stop breaches together.”
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