event builders
10000
+
risk-aligned use cases
0
threat feeds on IoCs
7000
behavior models
0
AI-DRIVEN DETECTIONS
Identify the threats other tools overlook
Exabeam machine learning-driven AI seamlessly integrates where point solutions fall short. Build behavioral baselines, correlate alerts and events, apply dynamic risk scoring, and self-tune to prioritize hard-to-spot threats like credential misuse and insider attacks for rapid analyst remediation.
UNDERSTAND NORMAL BEHAVIOR
Act on anomalous activity
Detect security threats by identifying risky and abnormal activity deviating from typical behavior of machines and people. User and entity behavior analytics (UEBA) establishes baselines to flag high-risk anomalies.
PRIORITIZE THREATS
Context-aware risk scoring
Automatically group related detections and employ context-aware risk scoring to uncover unknown threats for higher-fidelity detection. Dynamic multi-layer risk scoring prioritizes the highest-risk alerts and cases based on event rarity plus business factor adjustments.
DETECT LATERAL MOVEMENT
Track attack progression
Trace lateral movement in attacks across devices, IP addresses, or credentials. The Exabeam New-Scale Security Operations platform features patented technology that reveals detailed attack chains without gaps or missing pieces.
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Frequently Asked Questions
Can you provide more information about your generative AI guidelines and guardrails?
Exabeam ensures that inputs and outputs processed by foundation models, adapter models, and safety classifiers during prediction remain proprietary customer data. This data isn’t stored longer than necessary to generate Exabeam Copilot output and is never added to Foundation Models.
How does Exabeam cover insider threats?
Correlation Rules alone are not designed to capture insider threats. Exabeam industry-leading UEBA capabilities create a baseline of user behavior making it easy to spot insider threats which deviate from the “normal” baseline user behavior.
“Exabeam gives us an initial alarm followed immediately by context information on the alarm’s severity and timelines if more data is required. The SIEM only pushes forward with serious alerts, so we know if we need to switch into incident response mode.”
