异常检测 是什么？
异常检测 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 “异常检测” Used in Practice?
SOC 使用异常检测系统识别网络行为偏离基线的情况，这可能表明存在网络入侵或正在进行的攻击。
Certification Exam Relevance
Who Needs to Know This Term?
- SOC Analysts
- Security Engineers
- Incident Responders
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异常检测 是什么？
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.
Where can I learn this term for free?
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