IBM Security QRadar Log Insights

Dlaczego IBM QRadar Log Insights?

Cloud-scale logs wymagają cloud-native platform. On-prem SIEM nie skaluje się ekonomicznie. EPS-based pricing = unpredictable costs. Multi-cloud visibility fragmented. Investigation speed ograniczona infrastructure.

IBM QRadar Log Insights to cloud-native log management dla cloud-first organizations. Terabyte-scale search - w sekundach. AWS-native - built dla cloud. Predictable pricing - no EPS surprises. AI detection - intelligent alerting.

Jak to działa?

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

Główne funkcje

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

Przypadki użycia

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

Specyfikacja

Dla kogo?

• Cloud-first organizations
• AWS-heavy environments
• Organizations z unpredictable log volumes
• Teams potrzebujące fast investigation

Korzyści

Dla Security: AI detection, fast investigation, comprehensive visibility

Dla Finance: Predictable pricing, no overage surprises, cost optimization

Dla Operations: No infrastructure, elastic scaling, always available

FAQ

Czym Log Insights różni się od QRadar SIEM? Cloud-native vs on-prem capable. Log management vs full SIEM features.

Czy wymaga AWS? Tak. AWS-native deployment. Ingests z any source.

Jak wygląda pricing? Capacity-based. Predictable monthly costs.

Jak szybki jest search? Seconds dla terabytes. Parallel processing.

Czy wspiera compliance? Tak. Long retention, audit logs, compliance dashboards.

Co to jest KQL? Kusto Query Language. Powerful search syntax.

Czy integruje z Grafana? Tak. Native plugin dla custom dashboards.

Jak wygląda data retention? Configurable. Cost-effective long-term storage w S3.

Czy mogę migrować z on-prem SIEM? Tak. Migration tools available.

Jak wygląda wsparcie? IBM support. nFlo oferuje cloud security architecture i implementation.