What is Anomaly Detection?
Anomaly Detection Anomaly Detection is the process of identifying unusual patterns, events, or activities in datasets, logs, or network traffic that may indicate a security incident, compromise, or operational risk, utilizing baselines and advanced algorithms. Used in SOCs for early warning and threat detection.
Source: ISO 27001, NIST Cybersecurity Framework, MITRE ATT&CK
How is “Anomaly Detection” Used in Practice?
The SOC uses anomaly detection systems to identify deviations from baseline network behavior that could indicate a cyber intrusion or ongoing attack.
Certification Exam Relevance
Who Needs to Know This Term?
- SOC Analysts
- Security Engineers
- Incident Responders
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What is Anomaly Detection?
Anomaly Detection is the process of identifying unusual patterns, events, or activities in datasets, logs, or network traffic that may indicate a security incident, compromise, or operational risk, utilizing baselines and advanced algorithms. Used in SOCs for early warning and threat detection.
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