AI detection, also known as AI-based anomaly detection, is a technology that uses artificial intelligence algorithms to identify unusual patterns or anomalies in data. This can be used for various purposes such as detecting fraudulent activities, predicting equipment failures, or spotting unusual behaviors in network traffic.
AI detection typically involves training machine learning models on historical data to learn what is considered normal behavior, and then using these models to flag any deviations from the norm as potential anomalies. By continuously monitoring and analyzing data, AI detection systems can help organizations identify and respond to potential issues in real-time, improving security and efficiency.