The Most Dangerous AI Hacking Techniques Still Have Human Input
Security researcher James Kettle tested the boundaries of AI-assisted hacking and found that the most effective attacks combine AI capabilities with human expertise, rather than relying on AI to operate fully autonomously.
Why this matters: Fully automated AI hacking makes a good headline, but this finding is more unsettling in a practical way. A skilled attacker using AI as a force multiplier is harder to stop than either one alone. It means the threat is not some future autonomous system. It is here, today, in the hands of anyone with enough knowledge to direct it. Defenders need to plan for that combination, not just for bots running loose.
Who should care: General readers · AI governance · Policy
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