At the end of 2023, over half of cybersecurity professionals (60%) reported feeling unprepared for the reality of AI-augmented cyber threats. Twelve months later, that number had dropped to 45%—a clear sign that the industry has recognized the urgency of AI-driven threats and is taking steps to prepare.
This preparation has involved enhancing and optimizing technology and processes in the SOC, improving cybersecurity awareness training, and improving integration among existing cybersecurity solutions. But the biggest priority in addressing the challenge posed by AI-powered cyber-threats, according to the more than 1,500 cybersecurity professionals we surveyed around the world, is defenders themselves adopting defensive AI to fight fire with fire.
In December 2023, 58% listed ‘adding AI-powered security tools to supplement existing solutions’ as a top priority for their teams. By December 2024, it had risen to 64%.
On the other end of the spectrum, ‘increasing security staff’ fell to just over 10% – and only 8% among CISOs. This is despite ‘insufficient personnel’ being listed as the top challenge which inhibits organizations in the fight against AI-powered cyber-threats. This underscores a stark reality: while teams are understaffed and struggling, hiring the right talent is so challenging that expanding headcount is often seen as an unrealistic solution.
What security leaders are looking for in AI-powered solutions
As AI adoption accelerates, confidence in AI-powered security tools remains high, with over 95% of respondents agreeing that AI-enhanced solutions improve their ability to combat advanced threats. But what exactly are security leaders prioritizing when evaluating vendors?
Three key principles emerged:
- Platform solutions over point products – 88% of respondents prefer integrated security platforms over standalone tools, emphasizing the need for cohesive and streamlined defense strategies.
- A shift toward proactive security – 87% favor solutions that free up security teams to focus on proactive risk management, rather than reacting to attacks after they occur.
- Keeping data in-house – 84% express a strong preference for security tools that retain sensitive data within their organization, rather than relying on cloud-hosted ‘data lakes’ for analysis.
The knowledge delta: AI knowledge is growing, but there is a long way to go
While AI adoption is accelerating, how well do security leaders understand the AI technologies they are deploying? Do they have the expertise to differentiate between effective solutions and vague marketing claims?
Our survey found that overall familiarity with AI techniques is improving, particularly with generative AI, which saw the most significant increase in understanding over the past year. Respondents also reported growing awareness of supervised machine learning, Generative Adversarial Networks (GANs), deep learning, and natural language processing. However, knowledge of unsupervised machine learning—critical for identifying novel threats—actually declined.
Alarmingly, 56% of respondents admitted they do not fully understand the AI techniques used in their existing security stack. Clearly there is a long way to go in understanding this vast and fast-changing landscape. Darktrace has recently published a whitepaper breaking down the different AI types in use in cybersecurity which you can read here.
For many security leaders, staying ahead starts with understanding industry trends: how CISOs are thinking about AI’s impact, the steps they are taking, and the challenges they face. Our full State of AI Cybersecurity report is now available, offering deeper insights into these trends across industries, regions, company sizes, and job roles.

Download the full report to explore these findings in depth



















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