- Almost all security professionals agree that automation reduces response times
- Only about half currently use AI in key cybersecurity workflows
- Many organizations are now facing deepfake phishing attacks.
Most (91%) of UK security teams now agree that while adopting the next generation of agentic AI is a priority, many businesses still struggle to adopt AI uniformly due to the same old challenges.
For years, AI adoption has been held back by a skills shortage and poor policy enforcement, and new research from Ivanti shows that these obstacles have not yet been overcome.
In fact, a lack of skills has been cited as the number one barrier to AI in cybersecurity as attacks continue to rise.
AI’s role in cybersecurity is mixed
On the one hand, cybersecurity teams agree that artificial intelligence improves the way they respond to attacks. Most (93%) say automation reduces response times, and security professionals are more likely to believe defenders use AI as effectively as attackers.
However, the actual deployment tells a different story: just over half (56%) use AI for cloud security policy enforcement, and even fewer use it in workflows for incident response (47%), threat intelligence correlation (45%), and vulnerability response and remediation (45%).
On the other hand, attackers also have access to the power of AI to democratize attack sophistication. Three in four UK organizations (76%) have encountered deepfake attacks, and half have encountered personalized phishing.
When it comes to skills, it’s not just blue-collar workers who are lacking. Only a third (32%) believe their CEO could reliably identify a deepfake, highlighting the need for a much more comprehensive upskilling effort.
Daniel Spicer, Ivanti’s chief security officer, described the “growing year-over-year imbalance in organizations’ ability to defend their data, people and networks against the evolving threat landscape” as a cybersecurity preparedness gap.
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