- Almost all security professionals agree that automation reduces response times
- Currently, only about half use AI in key cybersecurity workflows.
- Many organizations have experienced deepfake phishing attacks
The majority (91%) of UK security teams now agree that while adopting the next generation of agent AI is a priority, many businesses are still struggling with consistent AI adoption due to the same old challenges.
For years, AI adoption has been held back by skills shortages and poor policy enforcement, and new research from Ivanti shows those barriers have yet to be broken down.
In fact, skills shortages were cited as the number one barrier to AI in cybersecurity as attacks continue to increase.
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 that defenders use AI as effectively as attackers.
However, actual implementation tells a different story: Just over half (56%) use AI for cloud security policy enforcement, and even fewer use it in incident response workflows (47%), threat intelligence correlation (45%), and vulnerability response and remediation (45%).
On the other hand, attackers have also gained access to the power of AI to democratize the sophistication of attacks. Three in four (76%) UK organizations have faced deepfake attacks and half have experienced personalized deepfake phishing.
When it comes to skills, it’s not just manual workers that are lacking. Only a third (32%) believe their CEO could reliably identify a deepfake, highlighting the need for a much more comprehensive upskilling effort.
Ivanti Chief Security Officer Daniel Spicer described the “growing imbalance in organizations’ ability to defend their data, people and networks against the evolving threat landscape” as a cybersecurity preparedness shortfall.
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