The Unified Platform
for Human + Data + AI Risk

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Prevent incidents using the industry’s most advanced behavioral intelligence engine

See risk early to protect what matters

Monitor all AI activities, eliminate blind spots

Automatically protect your most critical data

Human-AI risk intervention

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i³ Investigative Services

i³ Investigative Services provides comprehensive investigation capabilities to help organizations identify, analyze, and respond to security incidents and insider threats.

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AI Risk Management

AI Risk Management empowers organizations to understand, prioritize, and stop risk created by AI usage and agentic workflows across the enterprise.

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Insider Risk Management

Insider Risk Management focuses on human risk, combining behavioral context, user activity monitoring (UAM), and deep visibility into how people interact with data and AI to surface intent and prevent insider-driven breaches.

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Risk-Adaptive DLP

Risk-Adaptive Data Loss Prevention delivers proactive data protection by combining traditional data controls with behavioral risk signals, dynamically adjusting policies as user behavior, data sensitivity, and risk changes.

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AI Risk Assistant

AI Risk Assistant turns complex behavioral, data, and AI signals into digestible, context-rich, insights to guide confident, well-informed investigations.

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Triage Guardian Agent

Triage Guardian enables an autonomous, multi-agent team with human-in-the-loop that accelerates the evaluation of security events.

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Threat Hunter Agent

Threat Hunter is an agentic defender that hunts for risky behavior, not just single alerts. It automates complex, “deep research” hunts while eliminating manual query building.

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Pseudonymization

Pseudonymization is a patented, privacy-by-design capability that removes personal identifiers from activity data to eliminate the risk of inherent bias while protecting the privacy of employees.

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Behavior Analytics

Based on high-fidelity metadata and machine learning models, DTEX contextual enrichment and risk modeling correlates multiple activities across devices into one risk score, profiling behavior across processes to catch more complex threats more accurately.

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Unified Data and Telemetry

DTEX focuses on 12 human-driven activity groups that are captured as more than 500 metadata elements, 24×7, whether data is important at the time or not.

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