Splunk AI vs Rapid7 InsightVM
Side-by-side comparison to help you choose the best tool.
Splunk AI
paidAI features across Splunk's data platform including AI alerting, anomaly detection, natural language search, and automated incident response for security operations. Splunk AI Assistant enables analysts to generate SPL queries using natural language, reducing the technical barrier to security investigations. The platform processes massive volumes of machine data to surface clear security data.
Rapid7 InsightVM
paidAI vulnerability risk management platform with predictive risk scoring, live dashboards, and remediation guidance for security and IT teams. InsightVM uses machine learning to predict which vulnerabilities are most likely to be exploited and prioritises remediation accordingly. The platform provides shared visibility between security and operations teams to accelerate vulnerability closure rates.
| Feature | Splunk AI | Rapid7 InsightVM |
|---|---|---|
| Pricing | paid | paid |
| Category | Data & Analytics | Data & Analytics |
| Rating | 4.6 | 4.4 |
| Best For | Large enterprises needing flexible security analytics and SIEM across massive data volumes | Security and IT teams seeking collaborative vulnerability management with predictive risk prioritisation |
| Views | 114 | 110 |
| Attribute | Splunk AI | Rapid7 InsightVM |
|---|---|---|
| Pricing Type | paid | paid |
| Free Trial | No | No |
| API Available | No | No |
| Mobile App | No | No |
| Rating | 4.6 ✓ | 4.4 |
| Founded | - | - |
| Team Size | - | - |
| Deployment | - | - |
| Popularity (Views) | 114 ✓ | 110 |
Pros
- Extremely flexible and powerful data analytics
- Massive ecosystem of integrations and apps
- Strong community and enterprise support
Cons
- Licensing costs scale significantly with data volume
- Steep learning curve for SPL query language
Pros
- Predictive scoring helps focus remediation on highest-risk vulnerabilities
- Shared dashboards improve security and IT team collaboration
- Strong integration with Rapid7's broader InsightIDR SIEM platform
Cons
- Scanning large environments can be resource-intensive
- Reporting customisation has limitations
- AI-powered anomaly detection
- Natural language search with AI Assistant
- Machine learning toolkit for custom models
- Automated SOAR integration
- Real-time security monitoring dashboards
- Predictive risk scoring with ML
- Live vulnerability dashboards
- Remediation project tracking
- Container and cloud assessment
- Integration with IT ticketing systems
Want to compare Splunk AI with another tool?
Compare another tool