AI detection, also known as anomaly detection, is a process of identifying patterns or anomalies in data that do not conform to expected behavior. This is typically done using machine learning algorithms that are trained to recognize normal patterns in data, allowing them to detect deviations or unusual occurrences. AI detection is commonly used in cybersecurity to identify potential threats or breaches, in finance to detect fraudulent activity, and in healthcare to monitor patient health data for anomalies. By utilizing AI detection, organizations can proactively identify and respond to abnormal events before they escalate into larger problems.
AI detection, also known as anomaly detection, is a process of identifying patterns or anomalies in data that do not conform to expected behavior
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