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IBM Security QRadar Log Insights

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

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Key Features

  • Cloud-native on AWS
  • Search terabytes in seconds
  • AI-driven threat detection
  • Predictable pricing
  • Interactive dashboards
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Grzegorz Gnych

Grzegorz Gnych

Sales Representative

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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

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

FeatureLog Insights
PlatformAWS-native
ScalingAutomatic, elastic
PricingCapacity-based, predictable
ManagementFully 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

PlatformAWS-native
Connectors500+
QueryKQL
VisualizationBuilt-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.

Sales Representative
Grzegorz Gnych

Grzegorz Gnych

Sales Representative

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