This invention describes a mobile device that constantly monitors how a user interacts with it and its surroundings using various sensors. It compares this real-time usage to a known user profile to calculate a "threat score." If this score indicates a potential security risk, the device can either completely shut down or demand additional authentication based on the user's typical behavior.
Why it matters: Filed before the widespread adoption of advanced machine learning for behavioral biometrics. Modern AI can now more accurately build user profiles and detect anomalies from diverse sensor data, making the real-time threat scoring significantly more robust and practical.
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