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Built at Foundation-Model Scale
1 Billion+
derived behavioral signals used in training the model
85%
of attack detections across the Abnormal Behavior Platform now powered by Attune
50%
higher precision than previous models
Detection Built to Understand What’s Normal
Attackers aren’t breaking in; they’re blending in. Attune continuously updates its understanding of normal behavior, so new attack variants don't require new rules to catch.
Built for the Era of Generative AI Attacks
Most security AI evaluates signals independently, missing risk hidden inside normal-looking communication. Attune learns identity, behavior, and content jointly—revealing subtle impersonation, multi-message campaigns, and unfamiliar attack variants that isolated systems overlook.
Efficacy by Default. No Tuning Required.
Attune powers the majority of detections across the Abnormal Platform today. Protection works by default—no custom rules, manual tuning, or prior attack exposure required. As attackers evolve, detection adapts automatically across customers.
Precision You Can Trust
Joint learning across identity, behavior, content, and threat intelligence makes risk clear and consistent. Small deviations in tone, relationships, or workflow become visible—reducing false positives, accelerating investigations, and eliminating guesswork in automated decisions.
Abnormal AI Releases Behavioral Foundation Model for Modern Threat Defense
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Our Impact
The way Abnormal detects vendor email compromise attacks stands out. When a malicious actor took over an ongoing vendor conversation, we could see how Abnormal assessed the change of context, the slight nuances in the way the language shifted, the addition of a file with different bank details, and the fact that the attacker interjected an email address into the CC field. I’ve never seen these things detected by a traditional SEG.
The way Abnormal detects vendor email compromise attacks stands out. When a malicious actor took over an ongoing vendor conversation, we could see how Abnormal assessed the change of context, the slight nuances in the way the language shifted, the addition of a file with different bank details, and the fact that the attacker interjected an email address into the CC field. I’ve never seen these things detected by a traditional SEG.
— Jonny Concannon, Group Information Security Manager, Boohoo
Discover How It All Works