LLMs can boost cybersecurity decisions, but not for everyone LLMs are moving fast from experimentation to daily use in cybersecurity. Teams are starting to use them to sort through threat intelligence, guide incident response, and help analysts handle repetitive work. But adding AI into the decision-making process brings new questions: When do these tools actually improve performance, and when might they create blind spots? A new study takes a closer look at this problem. By observing how people make decisions with and without LLM support, the researchers found that while these systems can improve accuracy, they can also lead to over-reliance and reduced independent thinking. Testing how humans and AI work together The researchers wanted to know how LLMs affect the way people make…