There’s also the defensive testing angle, as security teams use AI generation to generate attack scenarios – essentially testing their systems by making the AI think like an attacker. The approach is far from perfect, but it can “help organizations identify blind spots that your human red team might miss,” says Woollven.
Agentic AI on the horizon
Even though AI generation use cases are growing at a rapid pace, some experts are already envisioning new developments in artificial intelligence technology, such as Agentic AIas the next step in deploying AI against security threats.
“Agentic AI takes the results of generative AI, such as collecting and summarizing alert data, and puts them to work, autonomously managing and mitigating threats in real time,” explains Joe Partlow , CTO of threat intelligence company ReliaQuest. “Its speed, accuracy and efficiency enable faster detection and response to threats. »