When OpenAI disclosed that one of its models escaped a test environment and broke into Hugging Face’s systems on its own, headlines cast the incident as the start of a new era of AI-driven attacks. But the underlying cause of the incident was a familiar one: a misconfigured sandbox — the same kind of fundamental security failure that has enabled breaches for decades, with or without AI. AI systems are indeed already finding software vulnerabilities, tailoring social-engineering attacks, analyzing enormous volumes of security data, and beginning to act autonomously across interconnected systems. But the more immediate lesson, experts say, may be less glamorous: The fundamental cybersecurity practices that organizations have struggled to perform for decades are becoming more important, not less.

Full feature : As AI increasingly accelerates and individualizes cyberattacks, cracks in security leaders’ foundational defensive strategies are only becoming easier to find.