Detection Logic

DetectionDetectionThe capability to identify suspicious activity, attacks, or policy violations in time. Logic: Rules, queries, models, and conditions used to identify suspicious behavior. Effectiveness depends on reliable data, defined ownership, measurable criteria, and regular tuning.

How it works and where it fits

Detection Logic connects data sources to detection or assessment logic. Raw records become security-relevant only when timing, identity, system context, and expected behavior are considered. Rules, correlations, statistical models, and analyst decisions may work together; no single method reliably covers every attack pattern.

Practical security relevance

Operational quality is reflected in coverage, data completeness, detection time, and false-alert workload. Data sources need owners, time synchronization, retention, and quality controls. Detections should be tested, versioned, and improved using real incidents. Every meaningful alert also requires triage guidance, escalation, and possible response actions.

Related concepts

• Detection EngineeringDetection EngineeringSystematic development, testing, and maintenance of rules for attack detection.: Systematic development, testing, and maintenance of rules for attack detection.
• YARA RuleYARA RuleRule for identifying files or memory contents based on characteristic patterns.: Rule for identifying files or memory contents based on characteristic patterns.
• Anomaly DetectionAnomaly DetectionDetects unusual patterns that may indicate attacks or misconfigurations.: Detects unusual patterns that may indicate attacks or misconfigurations.
• False PositiveFalse PositiveLegitimate activity is incorrectly classified as a threat.: Legitimate activity is incorrectly classified as a threat.