What the Data Says About AI in Security Operations in 2026
AI adoption in security operations is mainstream, with 40% of teams using it daily.
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Summary
A new report indicates that AI is now mainstream in security operations, with 40% of teams using it daily and 56% actively testing it. Despite challenges like alert fatigue and missed alerts leading to breaches, AI is proving effective in reducing investigation times and improving detection. However, many teams struggle with building their own AI tools, often abandoning them for commercial solutions.
The lesson from this incident
Full lessonWhile AI adoption in security operations is accelerating, many teams are still struggling with foundational challenges like alert fatigue and missed alerts that directly lead to breaches. The rush to build custom AI tooling often results in abandoned projects and wasted resources, leaving gaps in detection coverage during transition periods. This highlights a critical organizational maturity gap: teams are adopting AI faster than they can operationalize it effectively. Without proper governance, training, and tool selection strategies, AI becomes another source of noise rather than signal. The lesson is clear — technology adoption must be paired with process maturity and skilled human oversight.
What helps against this
How we list vendors
- SOC automation and AI analysts
Alerts arrive faster than the team can investigate them, so real attacks wait in the queue or are closed unread.