AI detection refers to the process of using artificial intelligence technology to detect and identify specific patterns, anomalies, or behaviors within a given dataset. This can include detecting fraudulent activity, identifying potential security threats, or recognizing patterns in data that may be indicative of specific events or outcomes.
AI detection typically involves training a machine learning model on a labeled dataset to enable it to recognize patterns and make predictions. The model is then used to analyze new data and provide insights or alerts based on its findings. AI detection can be used in a wide range of applications, including cybersecurity, fraud detection, predictive maintenance, and risk assessment.