Techniques and Architectures for Deep Learning to Support Security Threat Detection

摘要

Techniques and mechanisms for deep learning. A number of available tokens is reduced from a first-dimension space to tokens in a lower dimension space with a word embedding layer that receives a sequence of actions that correspond to an entity interacting with a secure computing environment. Patterns are extracted from the sequences of actions in the lower dimension space in at least a first direction with a first analysis layer and in at least a second direction with a second analysis layer. The extracted patterns are searched at a higher level of abstraction for higher level features and patterns from a larger feature space than the first analysis layer and the second analysis layer to generate a probability vector. Results from the probability vector are ranked with respect to tenants of a multitenant environment within the secure computing environment.