Exabeam

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.

Strengths

• 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.
• 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.

Watch-outs

• Splunk and Microsoft have stronger SIEM market positions: 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.
• UEBA accuracy depends on baseline quality: 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.
• Log ingestion costs scale with environment size: Like all SIEM platforms, Exabeam costs scale with data volume — organizations with large logging environments must carefully model ingestion costs to avoid bill shock.

Pricing

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.