Exabeam
AI-native SIEM and UEBA platform that detects insider threats and advanced attacks through behavioral analytics.
What it does
Exabeam is an AI-native security information and event management (SIEM) platform with user and entity behavior analytics (UEBA) at its core - detecting insider threats, compromised credentials, and advanced attacks that signature-based tools miss by modeling what normal looks like for every user and entity and alerting on deviations. AI capabilities include ML behavioral baselines that learn each user's typical activity patterns (login times, data access, applications used), anomaly scoring that quantifies how unusual each observed behavior is relative to the individual's baseline, automated timeline reconstruction that builds complete attack narratives from disparate log events, threat detection rules trained on the MITRE ATT&CK framework, and Exabeam Copilot - a generative AI assistant for threat investigation and incident response.
Why AI-NATIVE
Exabeam is AI-native - ML behavioral modeling of individual user and entity activity to detect anomalies indicating compromise or insider threat is the core product architecture, not a traditional rule-based SIEM with AI added.
Best for
Mid-market security teams use Exabeam for behavioral threat detection - AI catching insider threats and compromised accounts that evade traditional rule-based SIEM approaches with far fewer false positives.
Large enterprise security operations centers use Exabeam for SIEM and UEBA - AI behavioral analytics processing millions of log events daily to surface genuine threats and automated timelines reducing analyst investigation time.
Limitations
Splunk and Microsoft Sentinel dominate enterprise SIEM — Exabeam's differentiation is behavioral analytics depth, but buyers must evaluate whether standalone UEBA value justifies cost versus SIEM vendors with expanding behavioral features.
Exabeam's behavioral models need weeks to months to establish accurate baselines for each user — new deployments experience a learning period where detection accuracy is lower and false positives are higher.
Like all SIEM platforms, Exabeam costs scale with data volume — organizations with large logging environments must carefully model ingestion costs to avoid bill shock.
Alternatives by segment
| If you need… | Consider instead |
|---|---|
| Market-leading SIEM platform | Splunk |
| Cloud-native Microsoft SIEM | Microsoft Sentinel |
| AI autonomous security investigation | Dropzone AI |
Exabeam pricing based on data ingestion volume and user count. Not published. Mid-market contracts typically start around $50,000 annually. Enterprise pricing negotiated. Annual contracts.
