Security analytics & SIEM · Exabeam, Inc.

Exabeam

SIEM/security analytics platform built around behavioral baselining (UEBA) to surface anomalous user and entity activity.

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Exabeam is a security operations platform built around user and entity behavior analytics (UEBA) as its core differentiator: it baselines normal behavior per user/asset and automatically strings related events into a timeline (Smart Timelines), aiming to cut the manual correlation work analysts otherwise do across raw logs. It offers both a full New-Scale SIEM (log management plus analytics and case management) and a standalone Fusion analytics layer that sits on top of a customer's existing SIEM. Deployment is cloud-delivered SaaS, and pricing is quote-based rather than published, typically scaling with data volume or number of monitored identities.

At a glance

Vendor Exabeam, Inc.
Pricing model Quote only
Free tier No
Deployment Cloud
Open source No
Best for SOC teams prioritizing behavioral anomaly detection over hand-written correlation rules.

Pricing

Custom-quoted, typically scaled by data volume or monitored identities; no published self-serve pricing.

Pricing has not been verified yet — see the vendor's site.

Features

  • User and entity behavior analytics (UEBA) baselining
  • Smart Timelines that auto-assemble related events
  • Prebuilt threat detection content and use-case coverage
  • Case management and investigation workflows
  • Can layer analytics on top of an existing SIEM (Fusion)
  • Cloud-native, SaaS-delivered

Integrations

Profile last reviewed September 21, 2026

Alternatives

Securonix Cloud-native SIEM built on a Snowflake data lake, emphasizing behavior analytics and content-rich threat detection. IBM QRadar Long-established enterprise SIEM offering log correlation, UEBA and SOAR, now offered as SaaS or on-premises appliances. Microsoft Sentinel Cloud-native SIEM and SOAR built on Azure Log Analytics, billed per GB ingested per day with optional commitment discounts. Devo Cloud-native SIEM and data analytics platform emphasizing real-time query performance at high ingest volume.

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Terms to know

Anomaly detection Identifying data points or patterns that deviate significantly from expected or normal behavior. Log aggregation Collecting log data from many separate systems into one centralized, searchable store instead of checking each system individually. SIEM (security information and event management) A platform that centralizes and correlates log and event data across an IT environment to detect and investigate security threats. User and entity behavior analytics (UEBA) Analytics that baseline normal user and device behavior and flag deviations that could signal a compromise, even without a known IOC.

Related guides

How to choose a SIEM Choose a SIEM by deployment model, whether detection is rule-based, behavioral, or code, and how the storage architecture handles cost as retention grows.