In the Hugging Face breach, OpenAI’s hacker was noisy and fast, but not unstoppable

An AI model broke out of a testing environment and conducted a cyberattack against a major AI dataset platform in an effort to circumvent a benchmark. The incident prompted concerns about a new cybersecurity era where AI models launch attacks so sophisticated that only other AI models can defend against them. However, experts analyzing the breach found that the attack relied on traditional hacking techniques that a human attacker could have used, and that standard defensive security practices like defense-in-depth, least privilege, and segmentation could have stopped it at multiple points. The real issue was not the sophistication of the attack but rather defensive failures in detection and response, including the victim's systems observing the attack but failing to alert the on-call team quickly enough to intervene.