SYSTEM AND METHOD FOR APPLICATION TRAFFIC AND RUNTIME BEHAVIOR LEARNING AND ENFORCEMENT

Systems and methods for learning behavioral activity correlations. A method includes intercepting a plurality of requests, wherein each of the plurality of requests is directed to a respective destination entity of a plurality of destination entities; creating a request queue by queueing the plurali...

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Bibliographic Details
Main Authors SEGAL, Ory, SCHNITZER, Isaac, LEVIN, Liron, STOPEL, Dima
Format Patent
LanguageEnglish
Published 03.02.2022
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:Systems and methods for learning behavioral activity correlations. A method includes intercepting a plurality of requests, wherein each of the plurality of requests is directed to a respective destination entity of a plurality of destination entities; creating a request queue by queueing the plurality of requests; inspecting contents of the plurality of requests; separately forwarding each intercepted request to its respective destination entity based on the request queue; monitoring runtime output of each of the plurality of destination entities, wherein the runtime output includes behavioral activities of the plurality of destination entities; and training a machine learning model based on the contents of the plurality of requests the runtime output of each of the plurality of destination entities, wherein the machine learning model is trained to output request-output correlations between groups of requests and subsequent behavioral activities.
Bibliography:Application Number: US202016940876