Abstract: A processing device in an illustrative embodiment includes a processor coupled to a memory and is configured to receive user credentials from a user device in conjunction with an access request, to apply one or more automated tests in order to determine one or more device identifiers of the user device, to generate a risk score for the access request based at least in part on the received user credentials and the one or more determined device identifiers, and to grant or deny the access request based at least in part on the risk score.

Abstract: Systems and methods are provided for generating random pass-phrases using word-level recurrent neural networks (RNNs). A pass-phrase includes a random sequence of words selected from a text corpus used to train an RNN model. The pass-phrase generation process utilizes a seed phrase obtained from the training text corpus, and a random bit string. The seed phrase is processed by the RNN model to generate a set of predicted words and associated likelihood values that the predicted words are a next word following the seed phrase. The prediction results are encoded into a binary tree which is traversed using a portion of the random bit string to identify a word at a leaf node which matches the portion of the random bit string. The identified word is selected as a constituent of the random pass-phrase, and the process is repeated until the random bit stream is exhausted.