In some embodiments, an apparatus includes a memory and a processor operatively
coupled to the memory. The proces sor is configured to identify a feature vector for a …

There is disclosed in one example a ransomware mitigation engine, including: a processor;
a convolutional neural network configured to provide file type identification (FTI) services …

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 …

The present disclosure provides systems and methods for classifying or determined whether
a request for a user's information is malicious or safe/legitimate. Request infor mation related …

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 …

Apparatus and methods describe herein, for example, a process that can include receiving a
potentially malicious file, and dividing the potentially malicious file into a set of byte …

A method comprises obtaining at least a first software module not classified as benign or
potentially malicious, extracting a set of features associated with the first software module …

Example implementations relate to determination as to whether a process is infected with
malware. For example, in an implementation, information of a process extracted from a …

In some embodiments, a method includes receiving a plurality of descriptors via a network.
Each descriptor includes at least one of a descriptor component or a keyword. The method …

In one aspect, the present disclosure is directed to systems and methods for validating and
securely storing security entry updates. The security entry update is received from a …