Exabeam AI
Exabeam / exabeam.com
AI-powered SIEM and UEBA platform that detects insider threats and compromised accounts through ML behavioural baselines, with Smart Timelines reconstructing attack sequences automatically.
Pricing
Free
Free plan
No
Category
Developer Tools
Platforms
1
Free plan
No
API access
No
Open source
No
Platforms
1
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What is Exabeam AI?
Exabeam is an AI-focused SIEM and UEBA (User and Entity Behaviour Analytics) platform that differentiates from traditional SIEM tools through its AI-powered behavioural analysis. While traditional SIEMs collect and correlate log data for rule-based alert generation, Exabeam adds ML behavioural baselines — models of normal behaviour for each user and entity in the environment — to detect anomalies that rules miss.
The UEBA component is Exabeam's historical core strength. Machine learning models each user's normal login patterns, network access, application usage, and data access behaviour, then detect deviations from that baseline that indicate compromised credentials or insider threat activity. A finance employee suddenly accessing engineering repositories at 2am is an anomalous behaviour pattern that rules do not catch but UEBA detects.
Exabeam's Smart Timelines automatically reconstruct attack sequences — connecting individual log events into a chronological story of what happened during an incident. Rather than security analysts manually correlating dozens of log entries, Smart Timelines present the complete attack chain with risk scoring, dramatically reducing investigation time.
The platform merged with LogRhythm in 2024, creating a combined company with broader SIEM market coverage and competing more directly with Microsoft Sentinel and Palo Alto XSIAM for the modern SOC platform market.
AI Analyst, Exabeam's generative AI feature, provides natural language investigation assistance — analysts ask questions about incidents and AI provides contextual answers from the event data without requiring complex query construction.
How Exabeam AI works
Exabeam AI runs as ml platform software built around data and text workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web.
Watch Exabeam AI in action
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What makes it worth shortlisting
The capabilities that matter most for teams evaluating Exabeam AI.
UEBA behavioural analytics
ML baselines of normal user and entity behaviour detecting anomalies — unusual access times, atypical resource access, data exfiltration patterns — that rule-based SIEM detection misses.
Smart Timelines
Automatically reconstructs attack sequences from individual log events into chronological attack stories with risk scoring, reducing manual investigation correlation from hours to minutes per incident.
AI Analyst
Generative AI investigation assistant answering natural language questions about incidents from event data, reducing the expertise barrier for security analysts investigating complex incidents.
Best use cases
Who should use it
Pros
- UEBA behavioural analytics detects insider threats and compromised accounts that rule-based SIEM misses
- Smart Timelines automated attack reconstruction dramatically reduces investigation time per incident
- LogRhythm merger broadens SIEM market coverage and competitive positioning
- AI Analyst natural language investigation reduces expertise barrier for less experienced analysts
Cons
- LogRhythm merger creates integration complexity and product direction uncertainty — evaluate roadmap
- Enterprise pricing requires significant security budget
- Competing with well-entrenched Microsoft Sentinel deeply integrated with Microsoft security ecosystem
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Is it worth the price?
Enterprise only. Custom pricing based on data volume and EPS. No public pricing. Acquired by LogRhythm then merged. Contact for pricing.
Model
Enterprise
Starting price
Free
Free trial
No
Tools like Exabeam AI
Palo Alto Cortex XSIAM (rank 411) is the AI-native SOC platform alternative. Microsoft Sentinel integrates deeply with Microsoft security tools. Splunk Enterprise Security is the incumbent for complex multi-source SIEM. CrowdStrike Falcon provides endpoint-first threat detection.
Exabeam AI vs Palo Alto Cortex XSIAM
A side-by-side look at the closest alternative in this category.
Exabeam AI
Exabeam
Palo Alto Cortex XSIAM
Palo Alto Networks
Enterprise only. Custom pricing based on data volume and EPS. No public pricing. Acquired by LogRhythm then merged. Contact for pricing.
Enterprise only. Custom pricing based on data volume and modules. No public pricing. Palo Alto Networks is publicly traded (PANW).
SOC 2 Type II. ISO 27001. GDPR compliant. FedRAMP eligible. Enterprise security certifications.
SOC 2 Type II. ISO 27001. GDPR compliant. FedRAMP authorised. Enterprise security and compliance certifications.
Review Exabeam's data handling policy. Security event data and behavioural baselines processed on Exabeam's infrastructure.
Review Palo Alto's data handling policy. Security telemetry and threat data processed on Palo Alto's infrastructure. Enterprise data handling agreements available.
- UEBA behavioural analytics detects insider threats and compromised accounts that rule-based SIEM misses
- Smart Timelines automated attack reconstruction dramatically reduces investigation time per incident
- LogRhythm merger broadens SIEM market coverage and competitive positioning
- AI Analyst natural language investigation reduces expertise barrier for less experienced analysts
- AI-native unified platform addresses the fragmented SIEM + SOAR + EDR tool sprawl in security operations
- Bob AI analyst accelerates alert investigation for stretched SOC teams
- ML threat detection correlates signals across the full environment improving detection of sophisticated attacks
- Strong Palo Alto ecosystem integration for organisations using Cortex XDR and Prisma Cloud
- LogRhythm merger creates integration complexity and product direction uncertainty — evaluate roadmap
- Enterprise pricing requires significant security budget
- Competing with well-entrenched Microsoft Sentinel deeply integrated with Microsoft security ecosystem
- Enterprise complexity and pricing require significant security technology budget
- Platform consolidation from existing SIEM investments requires major migration effort
- Competing with well-entrenched Splunk and Microsoft Sentinel in the SIEM market
Technical & deployment info
Key facts about model providers, platforms, and team support.
Model Provider
Exabeam
Platforms
Web
Deployment
Enterprise, SaaS, Cloud, On-premise
Integrations
Active Directory, Identity providers, SIEM data sources, API
Team Collaboration
No
Launch Year
2022
Security & privacy
Compliance signals and data-handling notes as reported by the vendor.
SOC 2 Type II. ISO 27001. GDPR compliant. FedRAMP eligible. Enterprise security certifications.
Review Exabeam's data handling policy. Security event data and behavioural baselines processed on Exabeam's infrastructure.
What users are saying
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Common questions about Exabeam AI
Editorial Verdict
Should you use Exabeam AI?
Exabeam is the leading UEBA-focused SIEM for enterprises that prioritise insider threat detection and compromised account identification through ML behavioural analysis alongside traditional log correlation.
Last verified July 24, 2026.