A computer-implemented method comprising: receiving, as part of an authentication procedure to identify a user, data characterizing a user-generated biometric sequence, the biometric sequence being generated by the user interacting with at least one input device according to a desired biometric sequence, wherein the received data comprises a vectorization of various action values forming part of the user-generated biometric sequence in a vector; authenticating, using the received data and at least one machine learning model trained using empirically derived historical data generated by a plurality of user-generated biometric sequences, the user if an output of the at least one machine learning model is above a threshold, wherein the at least one machine learning model is tailored to a particular user by continual training, where the at least one machine learning model is fine-tuned based on user actions for each subsequent execution of the biometric sequence; and wherein the output of the at least one machine learning model is a score and the threshold is a score threshold that varies on user-to-user or is adaptively changed based on user behavior; and wherein the authenticating comprises: individually determining, using the at least one machine learning model, that each action value forming part of the vector indicates that the user-generated biometric sequence was performed by the particular user; providing, for each successfully authenticated action value, a corresponding portion of a biometric cryptographic key; and concatenating the portions of the biometric cryptographic key to result in a final biometric cryptographic key; and providing data characterizing the authenticating and providing access to the biometric cryptographic key if the received data is successfully authenticated. receiving, as part of an authentication procedure to identify a user, data characterizing a user-generated biometric sequence, the biometric sequence being generated by the user interacting with at least one input device according to a desired biometric sequence, wherein the received data comprises a vectorization of various action values forming part of the user-generated biometric sequence in a vector; authenticating, using the received data and at least one machine learning model trained using empirically derived historical data generated by a plurality of user-generated biometric sequences, the user if an output of the at least one machine learning model is above a threshold, wherein the at least one machine learning model is tailored to a particular user by continual training, where the at least one machine learning model is fine-tuned based on user actions for each subsequent execution of the biometric sequence; and wherein the output of the at least one machine learning model is a score and the threshold is a score threshold that varies on user-to-user or is adaptively changed based on user behavior; and wherein the authenticating comprises: individually determining, using the at least one machine learning model, that each action value forming part of the vector indicates that the user-generated biometric sequence was performed by the particular user; providing, for each successfully authenticated action value, a corresponding portion of a biometric cryptographic key; and concatenating the portions of the biometric cryptographic key to result in a final biometric cryptographic key; and providing data characterizing the authenticating and providing access to the biometric cryptographic key if the received data is successfully authenticated. individually determining, using the at least one machine learning model, that each action value forming part of the vector indicates that the user-generated biometric sequence was performed by the particular user; providing, for each successfully authenticated action value, a corresponding portion of a biometric cryptographic key; and concatenating the portions of the biometric cryptographic key to result in a final biometric cryptographic key; and providing data characterizing the authenticating and providing access to the biometric cryptographic key if the received data is successfully authenticated.