IDENTIFYING FLAWED DEPENDENCIES IN DEPLOYED APPLICATIONS

Patent №

US 10,691,577

Granted

2020-06-23

Filed 2018

Owner

SNYK LIMITED

Lab

AI components

2

kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15909458

Flaws in dependencies of deployed applications are identified. In one embodiment, a list of dependencies used by a deployed application that is deployed on the deployment platform is obtained. Each dependency of the list of dependencies is mapped with a flaws database, wherein the flaws database comprising an indication of known flaws for different dependencies and different versions thereof. Based on such mapping, one or more flaws in the deployed application are determined. The determination is performed externally to the deployment platform and without executing a monitoring process thereon.

Knowledge representationAI hardwareG06F 11/366G06F 8/60G06F 16/2379G06F 16/245

AI classification

Knowledge representation1.00
AI hardware0.97
Evolutionary computation0.13
Vision0.02
Natural language0.01
Planning0.01
Machine learning0.00
Speech0.00

Ownership

SNYK LIMITED

assignment · 450790958

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