IBM Security QRadar SIEM

Why IBM QRadar SIEM?

Traditional SIEM = alert factory. Rule-based detection misses unknown threats. Too many logs, too little insight. Analysts spend hours on false positives. Compliance audits require weeks preparation.

IBM QRadar SIEM is next-generation SIEM with AI-powered detection. Machine learning - detect unknown threats. UEBA - behavioral anomalies. Real-time correlation - connect the dots. Built-in compliance - PCI, GDPR, NIS2 ready.

How does it work?

Log Collection

Universal ingestion:

• 500+ connectors
• Syslog, API, agents
• Network flows
• Cloud sources
• Automatic parsing

Correlation Engine

Real-time analysis:

• Rule engine
• Statistical correlation
• Asset context
• Vulnerability data
• Priority scoring

AI/ML Detection

Advanced analytics:

• UEBA (User Entity Behavior)
• Anomaly detection
• Threat intelligence
• Risk scoring
• Automated investigation

Key Features

Detection

• Real-time correlation
• Behavioral analytics
• Custom rules
• Threat feeds
• Network anomalies

Investigation

• Unified search
• Timeline view
• Asset relationships
• Enrichment
• Forensic tools

Compliance

• Built-in reports
• PCI DSS
• GDPR/NIS2
• HIPAA
• Custom frameworks

Deployment Options

Model	Use Case
On-Prem	Full control, air-gapped
Cloud	IBM Cloud managed
Hybrid	Mixed environments
SaaS	Fully managed

Use Cases

SOC Operations:

• Alert triage
• Incident investigation
• Threat hunting
• Response coordination

Compliance:

• Audit reporting
• Log retention
• Access monitoring
• Change tracking

Threat Detection:

• APT detection
• Insider threats
• Ransomware indicators
• Credential theft

Specifications

Connectors	500+
Correlation	Real-time
Compliance	PCI, GDPR, NIS2, HIPAA
Deployment	On-prem, Cloud, Hybrid

Who is it for?

• SOC teams needing next-gen SIEM
• Organizations with compliance requirements
• Enterprises with complex IT environments
• Teams seeking AI-driven detection

Benefits

For SOC: 90% less false positives, faster triage, unified platform

For Compliance: Built-in reports, audit-ready, log retention

For Security: Unknown threat detection, behavioral analysis, risk visibility

FAQ

How many EPS can I ingest? From thousands to millions EPS. Scalable architecture.

How does UEBA work? Machine learning baseline normal behavior. Alert on anomalies.

Does QRadar SIEM require dedicated hardware? No. VM, cloud, appliances - all options available.

How fast does it correlate events? Real-time. Sub-second correlation for matching rules.

How much retention can I have? Configurable. Typically 90 days hot, years cold storage.

Does it integrate with Splunk? Yes. Bidirectional integration available.

How does pricing work? EPS-based licensing. Predictable costs.

Can I customize rules? Yes. Custom rules, building blocks, AQL queries.

How does threat intelligence work? Built-in feeds + custom. STIX/TAXII support.

What about support? IBM Security support. nFlo offers SIEM implementation and tuning.