What happens when AI goes rogue (and how to stop it)

This article examines the growing risks of AI misuse in security contexts, emphasizing that AI can be error-prone, can automate parts of the attack chain (phishing, voice/image cloning, social engineering), and requires layered defenses such as multifactor authentication and cross-checking technologies. It also raises unresolved accountability, privacy, and regulatory issues—highlighting ongoing legal disputes—and calls for greater responsibility from AI providers.