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LogRhythm Intelligence

Data Sheet

Detect credential misuse, insider threats, and risky behavior earlier with behavioral analytics

This data sheet explains how LogRhythm Intelligence uses behavioral analytics and machine learning to identify high-risk user and entity activity within LogRhythm SIEM.

Identity-driven attacks often blend into legitimate activity, making them difficult to detect with traditional rules alone. Credential misuse, insider threats, and administrative abuse can create significant risk while appearing normal on the surface. Security teams need a way to identify meaningful behavioral deviations without increasing operational complexity.

Learn how LogRhythm Intelligence establishes behavioral baselines, applies machine learning models, and prioritizes activity through dynamic risk scoring. It also shows how teams can investigate, search, create dashboards, configure Advanced Intelligence Engine (AIE) correlation rules, and trigger SmartResponse™ actions within existing LogRhythm SIEM workflows.

Key Questions This Data Sheet Helps You Answer

• How does LogRhythm Intelligence identify credential misuse, insider threats, and administrative abuse?
• How are behavioral baselines and dynamic risk scores used to prioritize investigations?
• What role does the MDI Fabric play in data enrichment and behavioral analytics?
• Which foundational data sources improve behavioral analytics and detection accuracy?
• How can analysts work within existing LogRhythm SIEM workflows to investigate and respond to threats?
• How do AIE correlation rules, SmartResponse™ actions, and integrated SOAR improve detection and response operations?

How LogRhythm Intelligence Works with LogRhythm SIEM

LogRhythm Intelligence extends the LogRhythm SIEM platform by applying machine learning, behavioral analytics, and dynamic risk scoring to data that has already been collected and enriched through the MDI Fabric. Analysts can investigate prioritized activity, search user- and entity-centric data, build dashboards, create AIE correlation rules, and automate response actions without leaving the LogRhythm environment.

Download the data sheet to learn how LogRhythm Intelligence helps security teams detect identity-driven threats earlier, reduce investigation effort, and prioritize the activity most likely to require investigation.