Simplifying the process of searching and querying data for relevant information was cited by 53% of IT and cybersecurity leaders as a benefit of using AI in threat intelligence.

Enhancing trust in the threat intelligence vendor's capabilities to analyze and correlate information was cited by 55% of IT and cybersecurity leaders as a benefit of using AI in threat intelligence.

Enabling the ability to foccus on higher-priority tasks via time saved was cited by 60% of IT and cybersecurity leaders as a benefit of using AI in threat intelligence.

86% of IT and cybersecurity leaders agreed that they "must" use AI to improve their ability to operationalise threat intelligence.

Enhancing trust in the threat intelligence vendor's capabilities to gather new sources of information was cited by 47% of IT and cybersecurity leaders as a benefit of using AI in threat intelligence.

Improving decision-making with more complete, accurate, relevant, and timely information was cited by 59% of IT and cybersecurity leaders as a benefit of using AI in threat intelligence.

Improving efficiency by generating easy-to-read summaries was cited most frequently (69%) by IT and cybersecurity leaders as a benefit of using AI in threat intelligence.

Making threat intelligence more accessible to different stakeholders was cited by 68% of IT and cybersecurity leaders as a benefit of using AI in threat intelligence.

Improving the capability to prioritize threats and vulnerabilities was cited by 68% of IT and cybersecurity leaders as a benefit of using AI in threat intelligence.

Providing actionable recommendations and next steps to uplevel junior analysts was cited by 63% of IT and cybersecurity leaders as a benefit of using AI in threat intelligence.

Concerns about AI's accuracy (79%) continue to slow adoption.

20% of AI implementations have caused operational disruptions.

Current implementation trends show AI operational use expanding in troubleshooting (41%) and log analysis (35%).

70% of sysadmins are actively seeking AI-related training.

The majority (73%) of sysadmins still report no requirement for AI use within their organisations.

As AI usage expands, reports of AI falling short include troubleshooting (30%) and log analysis (12%).

45% of sysadmins now know how to use AI. This is up from 34% last year.

Concerns about security risks (78%) continue to slow AI adoption.

Only 22% of sysadmins say their organizations require AI use. This is up from 18% in 2024.

More sensitive functions remain largely untouched by AI implementation, such as SSO/password management (2%) and file management (5%).