Capital One Financial‘s patent involves systems and methods to identify leaked sensitive data in software applications. By analyzing binary files and scan patterns, the technology determines the source of data leaks, enhancing cybersecurity measures. GlobalData’s report on Capital One Financial gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Capital One Financial, Virtual banking assistant was a key innovation area identified from patents. Capital One Financial's grant share as of February 2024 was 54%. Grant share is based on the ratio of number of grants to total number of patents.
Determining source of leaked sensitive data in software applications
The granted patent (Publication Number: US11921863B2) discloses a computer-implemented method for determining the source of sensitive data within a software application. The method involves receiving scan pattern information and a binary file of the software application, identifying executable files, determining location information for sensitive data elements, and identifying the respective source of each sensitive data element. The scan pattern information can be received through a configuration file or selected via a graphical user interface, indicating specific scan patterns based on the software application type. The sensitive data elements can include credential information, cryptographic information, syntax errors, logic errors, or objectionable data.
Furthermore, the method includes scanning executable files based on the specified scan patterns, determining location information, and identifying the source of sensitive data elements by analyzing source code and source control information. The patent also covers a non-transitory computer-readable device with instructions to perform the same operations. Additionally, the method allows for displaying the source of sensitive data elements, sending notifications to the respective sources, and identifying sources such as developers, predictive models, or other software applications. Another aspect of the patent involves displaying various scan patterns based on the software application type, selecting specific patterns, and determining the source of sensitive data elements based on the location information obtained from the scan pattern information and executable files.
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