This technology uses machine learning to automatically detect deviations from “normal behavior” in data streams. In practice, this means, for example, that unusual network activity, errors in sensor data, or irregular movements by robots are detected. Such anomalies often indicate malfunctions, security issues, or potential failures. The AI is constantly learning and improving its detection capabilities. In security robotics, this is extremely important for early warning systems, system monitoring, and risk prevention.
