CrowdStrike and CoreWeave bring AI security to machine speed
AI-native cybersecurity requires defenses that can keep pace with attackers while protecting infrastructure that never stops running. That challenge is bringing security expertise and specialized computing closer together, with automation embedded throughout the systems enterprises use to train and run models. CrowdStrike’s fastest observed eCrime attacker breakout time in 2025 was 27 seconds,…
CrowdStrike and CoreWeave are teaming up to bring AI-powered security to the speed of machine operations. The urgent need for rapid response times in combating cyber threats has brought together security expertise and high-performance computing resources for enterprises. CrowdStrike's fastest observed eCrime attacker breakout time in 2025 was a mere 27 seconds, highlighting the critical need for faster response capabilities.
Bartley Richardson, CrowdStrike's Chief of AI, emphasized the necessity of machine-speed defense to combat sophisticated threats. CoreWeave, with its infrastructure capabilities, serves as a design partner for CrowdStrike's Cyber Superintelligence Lab, supplying training and inference capacity for their SafeMind initiative. The partnership focuses on adversarial co-evolution, meaning both training and defending against attacks using advanced infrastructure.
Jim Higgins, CoreWeave's Chief Information Security Officer, stressed the importance of integrating security measures into ongoing operations. Higgins likened this to "the aikido of the security problem," using AI to support code scanning while also leveraging automation to fix misconfigurations within the continuous integration and delivery pipeline.
Attackers often exploit multiple weaknesses simultaneously to gain entry into systems, making basic security measures, like patching and continuous testing, essential for preventing breaches. CrowdStrike is investing in automation to support continuous security operations, aiming to gain the confidence of both CoreWeave and its customers through trust built into the system.
Written by urgent.news from SiliconANGLE's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.