In New-Scale Fusion, machine-learned behavioral analytics and correlation rules work together to create alerts and cases in Threat Center timelines. Threat Center brings threat management, detection, and automation into one place for efficient investigation and response. Agent Behavior Analytics (ABA), included with New-Scale Analytics, extends this approach to AI agents. APIs also let you share case data with other systems.
For organizations using the self-hosted LogRhythm SIEM Platform, LogRhythm Intelligence receives a feed of risk-scored events from New-Scale Fusion to provide a hybrid user and entity behavior analytics (UEBA) approach. If you want advanced behavioral analytics without replacing your SIEM, you can use New-Scale Analytics to augment your threat detection program.
Improve Threat Coverage with Exabeam
Automated threat coverage analysis based on risk helps you make timely decisions for your human and AI agent workforce. New-Scale Fusion maps posture to key frameworks and validates compliance.
Request a DemoSUCCESSFUL SECURITY OUTCOMES
Automated Threat Mapping
Align your security data to strategic outcomes. Validate use case coverage, compliance needs, and MITRE ATT&CK® alignment with visualizations based on your data ingestion. These insights help you find ways to strengthen 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 persona-driven experience lets you tailor workflows to your security operations without extensive training. It gives you the flexibility to adjust what you need.
CLOUD-SCALE INGESTION
Rapid Data Onboarding
Our open-source Common Information Model turns raw logs into normalized security events that parse, store, and report faster. As data is ingested, the model categorizes it to speed event creation and threat hunting in traditional infrastructure and AI services.
PRIORITIZE THREATS BASED ON RISK
Context-Aware Risk Scoring
UEBA baselines normal user and entity behavior to find unusual activity. Agent Behavior Analytics extends this approach to AI agents. By correlating alerts and events from all sources and applying dynamic risk scoring, the platform surfaces credible threats.
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 security operations teams discover?
Exabeam helps expose hard-to-detect threats, including credential misuse from malicious or compromised insiders, whether human or AI. Automated detection correlates events and alerts, using behavioral analytics and ABA to 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.”
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Lindbergh Caldeira
Security Operations Manager | SA Power Networks
Learn More About Exabeam
Learn about the Exabeam platform and expand your knowledge of information security with our collection of white papers, podcasts, webinars, and more.
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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
- How monitoring and analyzing AI and automated agent behavior uncovers risky non-human activity
- 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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