Accenture Global Solutions Limited

Rakesh Singh Kanyal

Nitin Madhukar Sawant

Manoharan Ramasamy

Anil Kv Kumar

Jayant Swamy

Vijay Baskaran

Balaji Muthukumaran

Ganesh Dadasaheb Waghmale

Abhishek Kumar Pandey

Anil G Kum

Balasubramanyam Besta

Jyoti Hotte

Harshal Kumar

Anil Kum

A system for determining a vulnerability of source code includes a processor; and non-transitory computer readable media that includes instruction code that causes the processor to receive source code and a selection of one or more code analyzers for detecting vulnerability issues in the source code. The processor executes the one or more code analyzer to generate initial vulnerability data. The initial vulnerability data specifies one or more vulnerable code sections in the source code. The processor communicates the initial vulnerability data to a vulnerability analyzing engine. The vulnerability analyzing engine is configured to identify one or more code sections of the one or more code sections of the initial vulnerability data that correspond to false positives. The vulnerability analyzing engine removes the one or more code sections that correspond to false positives from the initial vulnerability data to generate second vulnerability data; and generates a report that specifies the second vulnerability data.

System and method for locating and correcting vulnerabilities in a target computer system

A system for generating an architecture diagram includes an input processor, a machine learning processor, and an advice generator. The input processor is configured to receive, from a terminal, entity data associated with a plurality of entities of an architecture and path data associated with a plurality of paths that correspond to interconnections between the plurality of entities. The machine learning processor utilizes a training dataset to assess whether the entities defined by the entity data are correctly interconnected as defined by the path data. The advice generator receives the assessment from the machine learning processor, prepares a recommendation based on the assessment, and communicates the recommendation to the terminal. User feedback is represented in the training data to improve the relevancy of the recommendation.

System for generating an architecture diagram

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Gurgaon, India

Rakesh Singh Kanyal