In the New-Scale Platform, machine-learned behavioral analytics and correlation rules combine to generate alerts and cases in Threat Center timelines. Threat Center centralizes threat management, detection, and automation for efficient investigation and response. APIs are also available to integrate case data with other systems.
For self-hosted LogRhythm SIEM Platform users, LogRhythm Intelligence offers a hybrid UEBA solution by receiving a feed of risk-scored events from the New-Scale Platform. Organizations that want powerful behavioral analytics without replacing their current SIEM can use New-Scale Analytics to augment their threat detection capabilities.
SUCCESSFUL SECURITY OUTCOMES
Automated Threat Mapping
Align security data to strategic outcomes. Validate use case, compliance, and MITRE ATT&CK® coverage with visualizations that map to your data ingestion. These insights identify opportunities to improve your security and compliance posture.

BUILT-IN FUNCTIONALITY
Persona-driven User Experience
Accelerate time to value for high-priority use cases with prebuilt, user-friendly content. The intuitive, persona-driven experience allows for easy customization tailored to security operations, without requiring extensive training.

CLOUD-SCALE INGESTION
Rapid Data Onboarding
The open-source Exabeam Common Information Model (CIM) transforms raw logs into normalized security events that are faster to parse, store, and report on. With the Exabeam CIM, data is categorized upon ingestion to expedite event creation and threat hunting in both traditional infrastructure and AI services.

PRIORITIZE THREATS BASED ON RISK
Context-aware Risk Scoring
AI-driven detections establish baselines of normal behavior for users and entities to identify anomalous activity that other tools miss. By correlating alerts and events from all sources and applying multi-layered risk scoring, the platform dynamically prioritizes the most credible threats for analyst review.

How can we help? Talk to an expert.
Contact UsFrequently Asked Questions
Is the UEBA feature separate from the threat detection workflow?
What kinds of threats does Exabeam help SOC teams discover?
Exabeam helps identify hard-to-detect threats, including credential misuse as well as malicious and compromised insiders, whether human or AI. Automated detection correlates events and alerts, using behavioral analytics to create new machine-learned detections and surface the threats that pose the greatest risk to your organization.
“Since we’ve had Exabeam on board, the visibility, detection, and rich feature set has given us a different lens with a huge amount of context around an incident, which has informed our decision making and led to faster response times.”
See Exabeam in Action
Request more information or request a demo of the industry’s most powerful platforms for threat detection, investigation, and response (TDIR).
Learn more:
- If self-hosted or cloud-native SIEM is right for you
- How to ingest and monitor data at cloud scale
- Why seeing abnormal user and device behavior is critical
- How to automatically score and profile user activity
- See the complete picture using incident timelines
- Why playbooks help make the next right decision
- Support compliance mandates
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