Invincea Inc patents

Methods and detecting and identifying malware by mapping feature data into a semantic space

In some embodiments, an apparatus includes a memory and a processor operatively coupled to the memory. The processor is configured to identify a feature vector for a potentially malicious file and provide the feature vector as an input to a trained neural network autoencoder to produce a modified feature vector.... Invincea Inc

Methods and detecting whether a string of characters represents malicious activity using machine learning

In some embodiments, a processor can receive an input string associated with a potentially malicious artifact and convert each character in the input string into a vector of values to define a character matrix. The processor can apply a convolution matrix to a first window of the character matrix to... Invincea Inc

Methods and control and detection of malicious content using a sandbox environment

A non-transitory processor-readable medium storing code representing instructions to cause a processor to perform a process includes code to cause the processor to receive a set of indications of allowed behavior associated with an application. The processor is also caused to initiate an instance of the application within a sandbox... Invincea Inc