Hi HN community,My name is Zacharie Rodière (emphasis on the accent), a recent MS ECE graduate from Georgia Tech, originally from France. Since my graduation, I decided to work on a startup in the field of continuous authentication and behavioral AI. The name of my company is BehavLabs.I recently released our first continuous auth demo using keystroke biometrics. The model is trained on mostly open-access data but I can t much discuss the model architecture here (if any ML engineers want to discuss it privately feel free to reach out).The demo consists of two modes: a two-player mode where two people face off and the model tries to guess if the people are different or the same, and a 3+ player mode with compare and detect modalities. In compare mode you get a similarity matrix showing the model s similarity score for each user pair. In detect mode, each user types a prompted excerpt, then one of the n users types a final prompt, and the model tries to guess who typed the final prompt.I d say the model works pretty well even if we re not at 100% accuracy yet. I d love y alls feedback on it, whether it s about the ML, UI or security front.