Touch Verify by Crysp verifies users based on their unique typing rhythm when entering credentials on touchscreens or keyboards. It analyzes various aspects of credential entry, including key press duration and time between keystrokes. On smart devices, Touch Verify utilizes additional data from accelerometer, gyroscope, and touch sensors, such as touch pressure and size. Touch Verify employs data deltas to verify credential entry without learning the actual credential content. It does not require explicit enrollment, as it trains on users' normal login behavior.