Abstract: Technologies for multi-factor authentication of a user include a computing device with one or more sensors. The computing device may authenticate the user by analyzing biometric and/or environmental sensor data to determine whether to allow the user access to a computing device. To do so, the computing device may determine reliability scores based on the environment during authentication for each biometric authentication factor used to authenticate the user. Additionally, the computing device may determine a login pattern based on sensor data collected during historical authentication attempts by the user over a period of time. The computing device may apply a machine-learning classification algorithm to determine classification rules, based on the login pattern, applied by the computing device to determine whether to allow the user access to the computing device. Other embodiments are described herein and claimed.