Security Teams Struggle to Keep Up With Generative AI Threats, Cobalt Warns

A growing number of cybersecurity professionals are expressing concern that generative AI is evolving too rapidly for their teams to manage. 

According to new research by penetration testing company Cobalt, over one-third of security leaders and practitioners admit that the pace of genAI development has outstripped their ability to respond.

Nearly half of those surveyed (48%) said they wish they could pause and reassess their defense strategies in light of these emerging threats—though they acknowledge that such a break isn’t realistic. 

In fact, 72% of respondents listed generative AI-related attacks as their top IT security risk.

Despite this, one in three organizations still isn’t conducting regular security evaluations of their large language model (LLM) deployments, including basic penetration testing. 

Cobalt CTO Gunter Ollmann warned that the security landscape is shifting, and the foundational controls many organizations rely on are quickly becoming outdated.

“Our research shows that while generative AI is transforming how businesses operate, it’s also exposing them to risks they’re not prepared for,” said Ollmann. 

“Security frameworks must evolve or risk falling behind.”

The study revealed a divide between leadership and practitioners. Executives such as CISOs and VPs are more concerned about long-term threats like adversarial AI attacks, with 76% listing them as a top is

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