IBM Security QRadar SIEM

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

Jak to działa?

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

Główne funkcje

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

Przypadki użycia

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

Specyfikacja

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

Dla kogo?

• SOC teams potrzebujące next-gen SIEM
• Organizations z compliance requirements
• Enterprises z complex IT environments
• Teams szukające AI-driven detection

Korzyści

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

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

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

FAQ

Ile EPS mogę ingestować? Od kilku tysięcy do milionów EPS. Scalable architecture.

Jak działa UEBA? Machine learning baseline normalnego zachowania. Alert przy anomaliach.

Czy QRadar SIEM wymaga dedicated hardware? Nie. VM, cloud, appliances - wszystkie options available.

Jak szybko koreluje events? Real-time. Sub-second correlation dla matching rules.

Ile retention mogę mieć? Configurable. Typically 90 days hot, years cold storage.

Czy integruje z Splunk? Tak. Bidirectional integration available.

Jak wygląda pricing? EPS-based licensing. Predictable costs.

Czy mogę customizować rules? Tak. Custom rules, building blocks, AQL queries.

Jak działa threat intelligence? Built-in feeds + custom. STIX/TAXII support.

Jak wygląda wsparcie? IBM Security support. nFlo oferuje SIEM implementation i tuning.