- Almost all security professionals agree that automation reduces response times
- Only about half currently use artificial intelligence in key cybersecurity workflows
- Many organizations have now experienced deepfake phishing attacks
Most (91%) UK security teams now agree that while adopting next-generation agent AI is a priority, many companies still struggle with uniform 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 that these barriers have yet to be broken down.
In fact, lack of skills was cited as the biggest barrier to artificial intelligence in cybersecurity as attacks continue to increase.
The role of AI in cybersecurity is mixed
On one front, cybersecurity teams agree that artificial intelligence is improving how they respond to attacks. Most (93%) say that automation reduces response times, and security professionals are more likely to believe that defenders are using AI as effectively as attackers.
However, actual deployment tells a different story – barely more than 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 flip side, attackers have also gained access to the power of AI to democratize attack sophistication. Three out of four (76%) UK organizations have experienced deepfake attacks and half have personally experienced deepfake phishing.
When it comes to skills, it’s not just workers who are in short supply. Only a third (32%) believe their CEO could identify a deepfake, underscoring the need for a much more comprehensive upskilling effort.
Ivanti Chief Security Officer Daniel Spicer described the “year-over-year growing imbalance in an organization’s ability to defend their data, people and networks against the evolving threat landscape” as a Cybersecurity Readiness Deficit.
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