IBM Security QRadar Log Insights
IBM QRadar Log Insights: cloud-native log management. Search terabytes in seconds, AI detection, predictable pricing. AWS-native.

Key Features
- Cloud-native on AWS
- Search terabytes in seconds
- AI-driven threat detection
- Predictable pricing
- Interactive dashboards
Table of Contents
Why IBM QRadar Log Insights?
Cloud-scale logs require cloud-native platform. On-prem SIEM doesn’t scale economically. EPS-based pricing = unpredictable costs. Multi-cloud visibility fragmented. Investigation speed limited by infrastructure.
IBM QRadar Log Insights is cloud-native log management for cloud-first organizations. Terabyte-scale search - in seconds. AWS-native - built for cloud. Predictable pricing - no EPS surprises. AI detection - intelligent alerting.
How does it work?
Cloud Architecture
AWS-native design:
- Elastic scaling
- Serverless components
- S3 storage tier
- Multi-region
- No infrastructure management
Fast Ingestion
High-throughput:
- 500+ connectors
- Automatic parsing
- Schema inference
- Normalization
- Low latency
Instant Search
Parallel processing:
- KQL query language
- Terabyte search
- Seconds latency
- Historical analysis
- Saved queries
Key Features
Log Management
- Universal ingestion
- Automatic parsing
- Long retention
- Compression
- Data tiering
Detection
- AI-driven alerts
- Rule engine
- Anomaly detection
- Threat intelligence
- Custom alerts
Visualization
- Interactive dashboards
- Grafana integration
- Custom visualizations
- Drill-down
- Sharing
Deployment Model
| Feature | Log Insights |
|---|---|
| Platform | AWS-native |
| Scaling | Automatic, elastic |
| Pricing | Capacity-based, predictable |
| Management | Fully managed |
Use Cases
Cloud Security:
- AWS/Azure/GCP logs
- Container logs
- Kubernetes audit
- Cloud-native apps
Log Analytics:
- Central log repository
- Cross-service correlation
- Troubleshooting
- Performance analysis
Security Operations:
- Threat detection
- Investigation
- Compliance logging
- Audit trails
Specifications
| Platform | AWS-native |
| Connectors | 500+ |
| Query | KQL |
| Visualization | Built-in + Grafana |
Who is it for?
- Cloud-first organizations
- AWS-heavy environments
- Organizations with unpredictable log volumes
- Teams needing fast investigation
Benefits
For Security: AI detection, fast investigation, comprehensive visibility
For Finance: Predictable pricing, no overage surprises, cost optimization
For Operations: No infrastructure, elastic scaling, always available
FAQ
How does Log Insights differ from QRadar SIEM? Cloud-native vs on-prem capable. Log management vs full SIEM features.
Does it require AWS? Yes. AWS-native deployment. Ingests from any source.
How does pricing work? Capacity-based. Predictable monthly costs.
How fast is search? Seconds for terabytes. Parallel processing.
Does it support compliance? Yes. Long retention, audit logs, compliance dashboards.
What is KQL? Kusto Query Language. Powerful search syntax.
Does it integrate with Grafana? Yes. Native plugin for custom dashboards.
How does data retention work? Configurable. Cost-effective long-term storage in S3.
Can I migrate from on-prem SIEM? Yes. Migration tools available.
What about support? IBM support. nFlo offers cloud security architecture and implementation.
Inquire about IBM Security QRadar Log Insights
Contact your product specialist and get a custom quote.

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