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AI Tool Comparison

Comparing as AI Threat Detection & SIEM
Exabeam vs Splunk

Exabeam

Exabeam

VS
Splunk

Splunk

Verdict by Category

Detailed category analysis is not available for this comparison.
View Exabeam View Splunk

Detailed Comparison

Feature
Exabeam
Splunk
Pricing
PaidExabeam uses quote-based, volume-driven pricing based on data ingested per day (GB/day). There is no publicly posted list price \u2014 all contracts require direct engagement with Exabeam\u2019s sales team. A Forrester Total Economic Impact study commissioned by Exabeam modeled a composite New-Scale Fusion customer spending approximately $1.08 million over three years, including $75,000 in implementation fees and ~$147,000 in training and ongoing internal effort, with 245% ROI demonstrated in the study. New-Scale (cloud) pricing is based on ingestion volume and retention period. LogRhythm SIEM (on-premises) uses component-based licensing. Volume discounts apply for larger ingestion commitments. Contact Exabeam through exabeam.com for a personalized quote.
PaidSplunk uses a per-GB/day data ingestion pricing model — the most comprehensive but also most expensive SIEM pricing model available. Splunk base platform: approximately $150-$225/GB/day. Splunk Enterprise Security (SIEM add-on): approximately $250-$400/GB/day. A 500 GB/day organization can expect annual costs of $788,000 to $2.5 million at list pricing before volume discounts. Workload-based pricing is available as an alternative for high-volume organizations, licensing by compute workload rather than data volume. Splunk Cloud (SaaS), Splunk Enterprise (on-premises), and hybrid deployments all supported. Splunk Free provides 500 MB/day ingestion for non-production use. A Developer License provides 5 GB/day at no cost for development environments. A 60-day trial is available. Contact Cisco/Splunk through splunk.com for enterprise pricing and volume discount discussions.
Categories
AI Cybersecurity ToolsAI Productivity Tools
AI Cybersecurity ToolsAI Productivity Tools
Summary
AI-native SecOps platform with UEBA, Nova AI agents, and Agent Behavior Analytics for the agentic enterprise
World\u2019s leading enterprise SIEM — SPL, 2,800+ Splunkbase apps, ESCU detection content, now part of Cisco
Exabeam

Exabeam Pros & Cons

Pros

  • UEBA pioneer — deepest behavioral analytics and dynamic risk scoring of any SIEM platform, including industry-first Agent Behavior Analytics for AI agents
  • Exabeam Nova AI agents cut investigation times by over 50% with autonomous TDIR automation
  • Smart Timelines eliminate manual correlation — reconstructs complete attack story automatically from raw log events
  • Dual deployment — cloud-native New-Scale Fusion + on-premises LogRhythm SIEM gives flexibility no other combined SIEM vendor offers
  • Gartner Magic Quadrant Leader for SIEM (2025) — consistent analyst recognition
  • 3,000+ enterprise customers including financial services, healthcare, and government — proven at regulated industry scale
  • July 2026 Anthropic Claude observability — most forward-looking AI agent security monitoring in the SIEM market

Cons

  • Quote-based pricing with no public list price — evaluation requires sales engagement; Forrester composite customer spent $1.08M over 3 years
  • Still integrating LogRhythm merger (2024) with new CEO (Oct 2025) — product roadmap consolidation ongoing
  • Smaller ecosystem than Splunk’s 2,800+ Splunkbase apps — fewer third-party community detection packs
  • ~875 employees is smaller than Splunk or Microsoft — less enterprise-scale support capacity
  • KQL/SPL migration burden for organizations coming from Splunk — different query language and workflow retraining required
Splunk

Splunk Pros & Cons

Pros

  • Gold standard enterprise SIEM — 15,000+ customers, $3.7B pre-acquisition ARR, 15+ years of proven production deployments
  • 2,800+ Splunkbase apps — unmatched ecosystem with detection content, integrations, and dashboards built over 15+ years
  • ESCU MITRE ATT&CK detection packs — hundreds of continuously updated, community-validated detection rules
  • SPL is the most powerful SIEM query language — enables complex custom detections that simpler SIEM tools cannot replicate
  • Risk-Based Alerting reduces alert fatigue significantly by aggregating risk scores across entities
  • Cisco AI Assistant for Security post-acquisition adds GenAI investigation capabilities
  • FedRAMP authorized — approved for US federal and highly regulated industry deployments

Cons

  • Per-GB/day pricing is the most expensive SIEM model — 500 GB/day deployments run $788K-$2.5M/year
  • SPL (Search Processing Language) has a steep learning curve requiring specialized analyst expertise
  • Cisco acquisition (March 2024) created product roadmap uncertainty for existing customers
  • Heavy infrastructure and tuning requirements — not suitable for small teams without dedicated SIEM engineers
  • Microsoft Sentinel and Google Chronicle are increasingly competitive at lower cost for cloud-native organizations