Exabeam vs IBM QRadar: SIEM Comparison (2026)
An independent side-by-side comparison of Exabeam and IBM QRadar for siem buyers — pricing, features, integrations, and how often each is cited by major AI engines.
AI Citation Scorecard
How often each is cited by major AI engines when buyers ask siem questions. Last 90 days across ChatGPT, Perplexity, Gemini, Claude, and Copilot.
IBM QRadar leads overall — 53% cited vs Exabeam 50% across 60 probes.
ChatGPT
Exabeam
3 / 6 probes
50%
ExcellentIBM QRadarLeads
4 / 6 probes
67%
ExcellentPerplexity
ExabeamLeads
5 / 6 probes
83%
ExcellentIBM QRadar
4 / 6 probes
67%
ExcellentGemini
ExabeamLeads
4 / 6 probes
67%
ExcellentIBM QRadar
0 / 6 probes
0%
InvisibleClaude
Exabeam
3 / 6 probes
50%
ExcellentIBM QRadarLeads
4 / 6 probes
67%
ExcellentCopilot
Exabeam
0 / 6 probes
0%
InvisibleIBM QRadarLeads
4 / 6 probes
67%
ExcellentScale:NoneLowFairStrongExcellent
Probes run hourly; each (engine × query) combo retests every ~3 days.
Pricing
Key Features
Exabeam
- ✓AI-driven threat detection
- ✓Behavioral analytics for insiders
- ✓Automated investigations
- ✓Multi-agent AI workflows
- ✓Open platform for flexibility
- ✓Continuous security program optimization
IBM QRadar
Feature data is being indexed.
When to choose Exabeam
Choose Exabeam if your team prioritizes its strengths over IBM QRadar's. Full guidance populates as Exabeam's feature data is indexed.
When to choose IBM QRadar
Choose IBM QRadar if your team prioritizes its strengths over Exabeam's. Full guidance populates as IBM QRadar's feature data is indexed.