The cybersecurity landscape is evolving rapidly, and AI is at the forefront of this transformation. While AI has the potential to revolutionize security operations, it also presents unique challenges, particularly in the areas of threat intelligence and decision-making. A recent study conducted during Infosecurity Europe 2026 highlights the growing concern among cybersecurity professionals about AI-powered attacks, with 41% citing them as a top challenge, double the percentage of those worried about supply chain risk or unknown threats. This shift in focus underscores the need for organizations to adapt their strategies to address the evolving threat landscape.
One of the key issues highlighted by the survey is the time wasted on chasing false positives and low-priority alerts. This inefficiency is a result of the overwhelming amount of security data available, which often leads to validation fatigue. As Julien Richard, CTO at Filigran, points out, the challenge lies in determining which exposures are genuinely significant and whether existing controls can effectively mitigate them. This struggle is further exacerbated by the limited trust in threat intelligence, with only 19% of respondents stating complete trust in its ability to provide clear, actionable priorities.
The survey also reveals a cautious approach to AI in decision-making. Despite its potential, cybersecurity professionals are hesitant to fully rely on AI, with only 8% trusting it to make security decisions without human oversight. This reluctance is understandable, given the complexities of translating vast amounts of data into actionable insights. The volume of information often creates more noise than clarity, and the need for human judgment remains crucial.
The adoption of Continuous Threat Exposure Management (CTEM) is another area of concern. Only 28% of respondents have a continuous, proactive exposure management program in place, indicating a significant gap in threat intelligence and management. This lack of comprehensive threat intelligence and management is a critical issue, as it hinders organizations' ability to prioritize and validate cyber risks effectively.
Boards are increasingly aware of the impact of AI on the threat landscape and are seeking reassurance. The survey shows that 32% of board members are most concerned about AI-driven threats and organizational preparedness. This focus on AI is a significant shift from traditional boardroom priorities, with regulatory compliance, supply chain risk, and cloud exposure taking a backseat. This change in focus highlights the need for cybersecurity teams to adapt and integrate AI into their strategies to address these emerging challenges effectively.
In conclusion, the study underscores the complex relationship between AI and cybersecurity. While AI has the potential to enhance security operations, it also introduces new challenges, particularly in threat intelligence and decision-making. Cybersecurity professionals must navigate this evolving landscape, balancing the benefits of AI with the need for human oversight and comprehensive threat management. As AI continues to shape the cybersecurity field, organizations must stay agile and proactive to ensure they are prepared for the future of cyber threats.
