Invention Grant
- Patent Title: System and method for identifying cybersecurity threats
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Application No.: US15852081Application Date: 2017-12-22
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Publication No.: US11075935B2Publication Date: 2021-07-27
- Inventor: David Benjamin Nides , David Phillip Cartier , Hernan Rael Cortes , Edward L. Goings , Zachariah Sheldon Harris , Brian John Marks , Matthew Lewis Seyer , Andrea Sancho Silgado
- Applicant: KPMG LLP
- Applicant Address: US NY New York
- Assignee: KPMG LLP
- Current Assignee: KPMG LLP
- Current Assignee Address: US NY New York
- Agency: Hunton Andrews Kurth LLP
- Main IPC: H04L29/06
- IPC: H04L29/06

Abstract:
The invention relates to a computer-implemented system and method for automatic collection, analysis and reporting of data relating to a cybersecurity threat. The method may comprise the steps of: presenting an interface through which an executable can be configured and automatically generated; transmitting the executable to a client to enable the client to execute the executable on client systems to automatically collect forensic data; receiving from the client an encrypted data package that includes the forensic data; using a forensic toolset to automatically analyze the forensic data; presenting an option to select one or more of at least two types of output reports designed for different types of readers; inputting the analysis files into an automatic report generator to automatically generate the types of output reports selected by the client; and sending the output reports selected by the client to the client.
Public/Granted literature
- US20190199744A1 SYSTEM AND METHOD FOR IDENTIFYING CYBERSECURITY THREATS Public/Granted day:2019-06-27
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