AI should make security teams more efficient, but this makes their work harder. Security professionals are extracting in two directions: They are expected to manage their organization’s use of AI, while also figuring out how to integrate technology into their workflows, often without proper training. result? Overstretched teams, increasing stress and widening skills gaps.
Despite these pressures faced by cybersecurity teams, Richard Addiscott, Gartner’s vice president analyst, notes how businesses embrace AI at an unprecedented rate. “Our research shows that 98% of organizations have adopted or planned to adopt generative AI or other forms of AI. Only 1% of plans do not adopt AI, while the other 1% are unsure,” he told the CSO. “But if you are the head of a security organization, blocking AI may not be of any help to you or your team.”
However, this adoption adds new responsibility to cybersecurity professionals who must oversee AI governance when using it themselves. “As a security feature, it’s also perfectly appropriate in terms of cost efficiency, operational productivity, operational continuity and talent shortage, like what these teams look at, ‘How do I use AI from security features, whether it’s to improve operational efficiency, cost efficiency, or to enable my team to do more opportunities at the same level of resources,” Addiscott said.
