Improve Threat Coverage with Exabeam

Understand and improve detection coverage across human and AI agent activity. New-Scale Fusion maps your current posture to key frameworks and identifies where to strengthen detection and response.

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SUCCESSFUL SECURITY OUTCOMES

Map Detection Coverage to Outcomes

Outcomes Navigator connects detection coverage to MITRE ATT&CK^®, compliance frameworks, and the OWASP Agentic Top 10. It highlights gaps and prioritizes improvement. Exabeam Nova Advisor Agent recommends data sources and detection content to strengthen coverage.

ACCELERATE DETECTION ENGINEERING

Create and Convert Detections Faster

Exabeam Nova Rule Creator helps teams build correlation rules and behavioral models using natural language. It also updates existing detections and converts Sigma and YARA rules into Exabeam-compatible detections.

CLOUD-SCALE INGESTION

Onboard and Normalize Data Quickly

The open-source Exabeam Common Information Model converts raw logs into normalized security events. As data is ingested, it is categorized to support faster event creation, search, and threat hunting across infrastructure and AI services.

PRIORITIZE THREATS BASED ON RISK

Prioritize High-Risk Activity

Behavioral analytics baselines users and entities to identify anomalies. Agent Behavior Analytics applies the same approach to AI agents. By correlating activity and assigning dynamic risk scores, Exabeam surfaces the threats that require investigation first.

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Frequently Asked Questions

How does Exabeam improve AI agent threat coverage?

Outcomes Navigator maps detection coverage to the OWASP Agentic Top 10 and highlights gaps. Exabeam Nova Advisor Agent recommends the data sources and detection content needed to close those gaps. Exabeam Nova Rule Creator helps teams act by creating, tuning, and converting detections quickly.

Is user and entity behavior analytics (UEBA) separate from the threat detection workflow?

No. In New-Scale Fusion, behavioral analytics and correlation rules work together to generate alerts and cases. They are presented in Threat Center timelines, where teams can respond in one workflow.

Agent Behavior Analytics (ABA), part of New-Scale Analytics, extends behavioral analytics to AI agents. APIs allow case data to integrate with external systems.

For organizations using LogRhythm SIEM, LogRhythm Intelligence can ingest risk-scored events from New-Scale Fusion to support a hybrid UEBA approach. New-Scale Analytics can also extend behavioral analytics into existing environments.

What threats can Exabeam help detect?

Exabeam helps identify threats that are difficult to detect with rules alone. These include credential misuse, insider risk, abnormal AI agent behavior, and activity that deviates from expected roles. Behavioral analytics and ABA correlate activity and highlight high-risk event for investigation.

“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.”