異常検知とは？
異常検知 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 “異常検知” Used in Practice?
SOCは、サイバー侵入や進行中の攻撃を示す可能性のあるネットワークのベースラインからの逸脱を特定するために異常検知システムを使用します。
Certification Exam Relevance
Who Needs to Know This Term?
- SOC Analysts
- Security Engineers
- Incident Responders
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異常検知とは？
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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