International Business Machines Corporation

Yakir Keisar

Itai Gordon

Ilan D Prager

Shlomit Avrahami

Oded Sofer

Alexander Pyasik

Yifat Yulevich

Or Bar-Yaacov

Tali Finelt

Elik Katz

Denis Voloshin

Detecting malware attacks is described herein. A computer-implemented method may include receiving, via a processor, events from a plurality of activity monitors. The method also include extracting, via the processor, a plurality of behavioral features from the received events. The method may further include detecting, via the processor, a malware attack based on the extracted behavioral features using a malware identification model trained on private data and public data using a machine learning technique, wherein the private data includes private enterprise attack findings. The method may also include executing, via the processor, an ad hoc protection improvement based on the detected malware attack.

Detecting malware attacks using extracted behavioral features

Disclosed herein is a system and method that can retrieve, via a file monitor, a file and policy data from a case management system or a content management system, wherein the file and the policy data are retrieved in response to detecting a user request for the file. A processor can also modify, via the file monitor, access to the file based on the policy data, and intercept a plurality of document management instructions executed with the file. The processor can also detect at least one of the document management instructions is a malicious action, wherein the malicious action is detected based on the policy data, wherein the policy data is updated in response to detecting each of the document management instructions. Additionally, the processor can execute a policy instruction to prevent execution of the at least one document management instruction.

Managing access to documents with a file monitor

Detecting malware attacks is described herein. A computer-implemented method may include receiving, via a processor, events from a plurality of activity monitors. The method also include extracting, via the processor, a plurality of behavioral features from the received events. The method may further include detecting, via the processor, a malware attack based on the extracted behavioral features using a malware identification model trained on private data and public data. The method may also include executing, via the processor, an ad hoc protection improvement based on the detected malware attack.

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Toronto, Canada

Yakir Keisar