Control 3.3.5

★What This Means in Plain English

Your audit logs from different systems should be analyzed together to find patterns that indicate security incidents. A failed login on one system followed by successful access from another system might indicate an attack in progress.

✓How Petronella Implements This Control

Petronella Technology Group implements this control through:

• Arctic Wolf SIEM correlating events across network, endpoint, and cloud sources in real-time
• Custom correlation rules detecting multi-stage attack patterns (e.g., failed auth + lateral movement)
• CrowdStrike Falcon threat graph correlating endpoint events across the organization
• Weekly security review meetings analyzing correlated alert trends
• Automated incident tickets generated from correlated alerts for investigation tracking

🔎Assessment Guidance

Assessors will review SIEM correlation rules and dashboards, verify that events from multiple sources are correlated, test sample attack scenarios to confirm detection, and check that correlated findings feed into investigation and response processes.

⚠Common Implementation Gaps

• Logs collected but not correlated across systems
• SIEM deployed but with minimal or default correlation rules
• No process for reviewing correlated events regularly
• Alert fatigue from too many uncorrelated alerts
• Correlated findings not linked to incident response processes

⇄Cross-Framework Mapping