Leveraging Behavioral Insights to Counter LLM-Enabled Hacking

**Executive summary:** The commentary argues that as LLMs and automated tools lower technical barriers, future hacking will be driven more by creativity and novel prompt design than by implementation skill; attackers will leverage analogical thinking and cross-domain inspiration to craft unexpected attack patterns, and defenders should incorporate behavioral-science research methods (e.g., surveys, idea-generation experiments, market-basket analysis, and crowdsourcing) to anticipate likely prompts and improve red- and blue-team preparedness.