Arctic Wolf Report Says Agentic AI Resolves 60% of Security Investigations

Summary

Arctic Wolf’s 2026 report, based on data from more than 11,000 organizations in over 100 countries, says agentic AI autonomously resolves 60% of investigations; AI-human collaboration handles 38%, while human-only investigations fell to 2%.

Key points

The report draws on data from more than 11,000 organizations across over 100 countries.
Arctic Wolf says human-only investigations fell from 81% about a year earlier to 2%; agentic AI now resolves 60% autonomously, and AI-human collaboration accounts for 38%.
The company reports that monthly investigation volume rose 21% while alert volume fell 19%; average time from an alert-generating event to an actionable ticket declined 36%.
Arctic Wolf says its platform processes more than 10 trillion security events weekly and conducts over 200,000 investigations per week.
The AI Trust Engine is designed to let agents act autonomously at high confidence and escalate uncertain, novel, or out-of-scope cases to analysts.
Arctic Wolf reports that its MDR customers with endpoint coverage had seven times fewer events escalate to investigation than customers using EDR alone; it also claims an approximately 12x cost advantage over building and operating an agentic SOC in-house.

Article Details

Publisher: Arctic Wolf
Report Period: 2026; year-over-year comparisons cover approximately one year
Scope: Agentic security operations and customer outcomes, based on Arctic Wolf operational data and customer analysis.
Sample Size: Data from more than 11,000 organizations across more than 100 countries.
Key Statistics: Investigation handling shifted in approximately one year from 81% human-only to 2% human-only; agentic AI resolved 60% autonomously, while AI-human collaboration reached 38%.
Over the past year, monthly investigation volume increased 21%, alert volume declined 19%, and time from an alert-generating event to an actionable ticket fell 36%.
The Aurora Agentic SOC opens 13 investigations per billion observations and surfaces one alert per 175.6 million observations.
The Aurora Superintelligence Platform processes more than 10 trillion security events weekly; Arctic Wolf reports more than 200,000 investigations weekly and more than three million cases resolved since launch in March 2026.
In Arctic Wolf's customer analysis, Aurora MDR customers with endpoint coverage had seven times fewer events escalate to investigation than customers using endpoint detection and response alone, and an approximately 12x cost advantage versus building and operating an agentic SOC in-house.
Recommendations: Use human oversight for decisions requiring expertise, and escalate uncertain, novel, or out-of-scope cases to security analysts.
Combine AI automation with human expertise rather than relying exclusively on AI-only or human-only security operations.

People

Dan SchiappaPresident of Technology and Services at Arctic Wolf; described the company's AI-and-human security operations model.

Vendors

Arctic Wolf– October 27, 2026 – Arctic Wolf®, the cybersecurity and AI company, today released its 2026 Agentic Security Operations Report, revealing that agentic AI now resolves 60% of security investigations as security

Products

AI Trust EngineThe AI Trust Engine™ governs agent behavior, so agents may act autonomously when confidence is high.Aurora Agentic SOCThe report demonstrates how the Aurora Agentic SOC improves both speed and efficiency at scale.Aurora Managed Detection and ResponseIn our analysis of customer data, Arctic Wolf customers using Aurora Managed Detection and Response (MDR) with endpoint coverage saw seven times fewer events escalate to investigation than customers using endpoint Swarm of ExpertsArctic Wolf’s patent-pending Swarm of Experts™ is designed to help organizations build that confidence.