Patent · US Active

Systems and methods for machine learning based application security testing

US10965708B2 · kind B2 · utility

23Cited by

4References

24Claims

0Family size

Assignee

WHITEHAT SECURITY, INC. · US

Inventors

Sergey Kolychev · Portland, US
Robert Stone · Oro Valley, US
James Richardson · Duluth, US

Key dates

Filing date	Jun 6, 2018
Grant date	Mar 30, 2021
Priority date	—
Expiry date	Dec 9, 2038

Classification

Technology area (CPC G)Physics
CPC primaryG06F2221/034
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Discloses are systems, methods and computer readable mediums for automated verifications of potential vulnerabilities of one or more sites or code utilizing one or more neural networks. The systems, methods and computer readable mediums can transmit one or more scan operations to one or more sites, receive one or more responses to the one or more scan operations, tokenize the one or more responses, transmit to one or more neural networks the one or more tokenized responses, receive from the one or more neural networks verification of the one or more tokenized responses, and determine one or more confidences of the one or more verified responses.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.