Gen AI use cases rising rapidly for cybersecurity — but concerns remain

There’s also the defensive-testing angle as security teams use gen AI to generate attack scenarios — essentially stress-testing their systems by having AI think like an attacker. The approach is far from perfect, but it can “help organizations to identify blind spots your human red team might miss,” Woollven says.

Agentic AI on the horizon

Even as gen AI use cases expand at a rapid rate, some experts are already looking towards further developments in artificial intelligence technology, such as agentic AI, as the next stage of deploying AI against security threats.

“Agentic AI takes the outcomes of generative AI, like alert data collection and synthesis, and puts them to work, autonomously managing and mitigating threats in real-time,” says Joe Partlow, CTO at threat intel firm ReliaQuest. “Its speed, accuracy, and efficiency lead to faster threat detection and response.”

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