Attackers increasingly rely on urgency, impersonation, timing, and trusted workflows. That makes static checks useful, but incomplete. Behavioral AI adds another layer by asking whether the surrounding context of an email makes sense.
Signals that matter
Useful protection can consider sender behavior, unusual message timing, request type, language shifts, and the risk of the action a recipient is being pushed toward. The aim is to identify suspicious intent early enough for a user or security team to act.
Less noise, clearer action
Gaetir is designed around practical outcomes: warn the user before the risky action, help security teams see better signals, and keep improving as confirmed patterns are learned.