TOTAL understands who is acting —
not just what they’re doing
Events are the currency of cybersecurity but without identity context, they are just noise. TOTAL enriches raw native signals with identity personas to separate true threats from benign activity. By connecting the dots in real time, TOTAL stops breaches before they happen and dramatically reduces alert fatigue.
PREVENT BREACHES
Identity context for all events
TOTAL redefines detection by understanding people, not just events. It builds a behavioral persona for every actor, learning how they work, when they access systems, and how they interact with data. This deep identity context transforms noisy events into clear narratives.
ELIMINATE ALERT FATIGUE
Automate 90% of alerts away
TOTAL automatically takes enforcement action against likely threats, and resolves benign alerts without human intervention — allowing SOC analysts to investigate only the ambiguous cases.
AI WITH HUMAN FEEDBACK
Learns from analyst decisions
TOTAL continuously learns from every reviewed alert, every confirmed threat, every resolved event. With each decision, its prediction engine grows smarter, reducing noise and enforcing action on even more threats automatically. Over time, the result is a SOC that’s leaner, faster, and more intelligent.
Get an intelligent view of events, behavioral personas, and threat briefs all in one place. TOTAL responds the moment risk is detected, from locking user accounts and quarantining devices to initiating full emergency responses.