¿Qué es Detección de anomalías?
Detección de anomalías 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 “Detección de anomalías” Used in Practice?
El SOC utiliza sistemas de detección de anomalías para identificar desviaciones del comportamiento normal de la red que podrían indicar una intrusión o ataque en curso.
Certification Exam Relevance
Who Needs to Know This Term?
- SOC Analysts
- Security Engineers
- Incident Responders
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¿Qué es Detección de anomalías?
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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