Was ist Anomalieerkennung?
Anomalieerkennung 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 “Anomalieerkennung” Used in Practice?
Das SOC verwendet Anomalieerkennungssysteme, um Abweichungen vom normalen Netzwerkverhalten zu erkennen, die auf einen Cyberangriff hinweisen könnten.
Certification Exam Relevance
Who Needs to Know This Term?
- SOC Analysts
- Security Engineers
- Incident Responders
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Was ist Anomalieerkennung?
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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