Head to Head
Feature comparison
| Criterion | GhostAnalyst | IBM QRadar |
|---|---|---|
| Data sovereignty | Yes | No |
| On-premise AI processing | Yes | Limited |
| Raw logs stay in network | Yes | On-prem only |
| Deploy in under 1 hour | Yes | No |
| No per-GB ingestion cost | Yes | Yes |
| CLOUD Act free | Yes | No |
| Built-in NMS | Yes | No |
| AI-native detection | Yes | Rules + ML |
| No professional services | Yes | No |
| Compliance reporting | In development | Yes |
Where IBM QRadar wins
- 01Decades of enterprise deployments and mature compliance reporting.
- 02Large ecosystem of trained QRadar administrators and integrators.
- 03Strong on-premise deployment option for air-gapped environments.
Where GhostAnalyst wins
- 01The world's first autonomous SIEM purpose-built for data sovereignty. Not adapted from a legacy platform.
- 02AI-native detection, not rules-based correlation that requires constant tuning.
- 03Deploys in under an hour. QRadar implementations typically take weeks or months.
- 04Modern Kubernetes architecture. No legacy appliance hardware or complex licensing.
- 05CLOUD Act free jurisdiction. IBM is a US company.
- 06Built-in NMS consolidates tool sprawl. No separate network monitoring tool needed.
Questions to ask your current vendor
01
How long did your last QRadar deployment take from contract to first detection?
02
How many professional services consultants were involved in your QRadar implementation?
03
When QRadar flags a threat, does it explain the reasoning or just raise an alert?
04
Is your QRadar deployment actively evolving, or are you maintaining the status quo?
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