Panther vs IBM QRadar: SIEM Comparison (2026)
An independent side-by-side comparison of Panther 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 Panther 7% across 60 probes.
ChatGPT
Panther
0 / 6 probes
0%
InvisibleIBM QRadarLeads
4 / 6 probes
67%
ExcellentPerplexity
Panther
0 / 6 probes
0%
InvisibleIBM QRadarLeads
4 / 6 probes
67%
ExcellentGemini
PantherLeads
2 / 6 probes
33%
GoodIBM QRadar
0 / 6 probes
0%
InvisibleClaude
Panther
0 / 6 probes
0%
InvisibleIBM QRadarLeads
4 / 6 probes
67%
ExcellentCopilot
Panther
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
Panther
- ✓Single closed-loop architecture
- ✓Definitive risk classification
- ✓Detect and respond at cloud scale
- ✓Detection-as-code with Python
IBM QRadar
Feature data is being indexed.
When to choose Panther
Choose Panther if your team prioritizes its strengths over IBM QRadar's. Full guidance populates as Panther's feature data is indexed.
When to choose IBM QRadar
Choose IBM QRadar if your team prioritizes its strengths over Panther's. Full guidance populates as IBM QRadar's feature data is indexed.