Accenture Global Solutions Limited

Jee Hyub Kim

Gopal Kavanadala Sridhar

Md Faisal Zaman

Mário Lauande Lacroix

Finbarr S Tarrant

Richard Levine

Karel Kohout

Navdeep Sharma

Johnny Obando

Eanna Mulrooney

Anton Plotnikov

Finbarr Tarrant

Systems and methods are provided for the classification of identified security vulnerabilities in software applications, and their triage based on automated decision-tree triage and/or machine learning. The disclosed system may generate a report listing detected potential vulnerability issues, and automatically determine whether the potential vulnerability issues are exploitable using automated triage policies containing decision trees or by extracting vulnerability features from the report and processing the extracted vulnerability features using machine learning models.

Systems and methods for triaging software vulnerabilities

In some implementations, a device may receive a first document from a first client device. The device may parse the first document into first sentences. The device may receive a second document from a second client device. The device may parse the second document into second sentences. The device may select a first sentence of the first document and a second sentence of the second document. The device may convert the first sentence into a first vector and the second sentence into a second vector. The device may determine a similarity score associated with the first vector and the second vector. The device may determine, based on the similarity score, that a first word set in the first sentence and a second word set in the second sentence correspond to a reference annotation. The device may perform an action associated with the reference annotation.

Reference document generation using a federated learning system

Growing community of inventors

Dublin, Ireland

Jee Hyub Kim