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Training Camp • Cybersecurity Glossary
Log anomaly detection refers to the process of identifying unusual patterns or discrepancies in system logs to detect potential security incidents or abnormal behaviors.
Log Anomaly Detection Definition: Log anomaly detection refers to the process of identifying unusual patterns or discrepancies in system logs to detect potential security incidents or abnormal behaviors.
Log Anomaly Detection refers to the process of identifying abnormal patterns or deviations within system log data that may indicate potential security threats or unauthorized activities. This technique involves analyzing log entries from various sources such as networks, servers, and applications to detect unusual behaviors or events that could signify a security breach or a system compromise. By continuously monitoring and evaluating log data against established baseline profiles, organizations can proactively detect and respond to security incidents, enhance threat detection capabilities, and strengthen overall cybersecurity defenses.
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