AICentralResources
AI Tool Comparison

Comparing as AI Threat Detection & SIEM
IBM QRadar SIEM vs Exabeam

Compare features, pricing, pros & cons, and user ratings to decide which AI tool is best for your needs.

IBM QRadar SIEM

IBM QRadar SIEM

VS
Exabeam

Exabeam

Verdict by Category

Detailed category analysis is not available for this comparison.
View IBM QRadar SIEM View Exabeam

Detailed Comparison

Feature
IBM QRadar SIEM
Exabeam
Pricing
EnterpriseIBM QRadar SIEM (on-premises) uses enterprise custom pricing with no public list price. All contracts require direct engagement with IBM sales. On-premises pricing is based on Events Per Second (EPS) ingestion volume, Flows Per Minute (FPM) for network traffic analysis, deployment size, and selected add-on modules (UBA, QRadar SOAR, X-Force Threat Intelligence). Reference pricing from verified buyer reports: approximately $50,000\u2013$200,000+/year for mid-size enterprises, scaling significantly for large government and financial services deployments. Note: QRadar SaaS, QRadar Cloud, and QRadar EDR/XDR SaaS products are no longer available \u2014 those were sold to Palo Alto Networks in September 2024 and have reached end-of-life. The available IBM product is QRadar SIEM on-premises only. Contact IBM at ibm.com/products/qradar-siem for enterprise 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.
Categories
AI Cybersecurity ToolsAI Productivity Tools
AI Cybersecurity ToolsAI Productivity Tools
Summary
IBM's AI-powered on-premises SIEM — 30+ years of threat detection with watsonx GenAI investigation
AI-native SecOps platform with UEBA, Nova AI agents, and Agent Behavior Analytics for the agentic enterprise
IBM QRadar SIEM

IBM QRadar SIEM Pros & Cons

Pros

  • 30+ years of enterprise SIEM heritage — battle-tested in the world’s largest and most complex security environments
  • watsonx GenAI Investigation Assistant (May 2025) — on-premises AI investigation without sending data to external cloud
  • 3,000+ Sigma rules — community-maintained detection logic that stays current as threats evolve
  • IBM X-Force Threat Intelligence integration — one of the most respected threat research teams in the industry
  • On-premises deployment for strict data residency — the go-to SIEM for air-gapped, government, and regulated environments
  • 750+ integrations in IBM Security app marketplace — broadest third-party connector library after Splunk
  • On-prem QRadar SOAR remains fully supported — no announced end-of-life for automation workflows

Cons

  • QRadar SaaS/Cloud assets sold to Palo Alto Networks (Sep 2024) — cloud version reached EOL April 14, 2026; only on-premises remains under IBM
  • QRadar EDR and XDR SaaS reach end-of-life August 31, 2026 — significant platform uncertainty for existing cloud customers
  • IBM’s long-term engineering investment unclear after SaaS divestiture to Palo Alto Networks
  • Steep learning curve — less intuitive interface than modern SIEMs like Microsoft Sentinel or Exabeam
  • On-premises-only going forward limits cloud-native scalability and modern SaaS delivery model
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