How does AI analyze human-readable audit logs for security insights?

AI analyzes human-readable audit logs by utilizing natural language processing (NLP) techniques to extract relevant information from the logs. It leverages machine learning algorithms to identify patterns, anomalies, and trends within the audit data that indicate potential security issues or risks. By processing large volumes of data at high speeds, AI can quickly identify outliers, suspicious activities, or deviations from normal behavior. This analysis enables AI to provide actionable security insights by flagging potential threats, recommending security measures, and assisting in incident response efforts.