IBM QRadar vs Securonix: SIEM Comparison (2026)
An independent side-by-side comparison of IBM QRadar and Securonix 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 Securonix 7% across 60 probes.
ChatGPT
IBM QRadarLeads
4 / 6 probes
67%
ExcellentSecuronix
0 / 6 probes
0%
InvisiblePerplexity
IBM QRadarLeads
4 / 6 probes
67%
ExcellentSecuronix
2 / 6 probes
33%
GoodGemini
IBM QRadar
0 / 6 probes
0%
InvisibleSecuronix
0 / 6 probes
0%
InvisibleClaude
IBM QRadarLeads
4 / 6 probes
67%
ExcellentSecuronix
0 / 6 probes
0%
InvisibleCopilot
IBM QRadarLeads
4 / 6 probes
67%
ExcellentSecuronix
0 / 6 probes
0%
InvisibleScale:NoneLowFairStrongExcellent
Probes run hourly; each (engine × query) combo retests every ~3 days.
Pricing
Key Features
IBM QRadar
Feature data is being indexed.
Securonix
Feature data is being indexed.
When to choose IBM QRadar
Choose IBM QRadar if your team prioritizes its strengths over Securonix's. Full guidance populates as IBM QRadar's feature data is indexed.
When to choose Securonix
Choose Securonix if your team prioritizes its strengths over IBM QRadar's. Full guidance populates as Securonix's feature data is indexed.