The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 16, 2021

Filed:

Sep. 26, 2019
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Rohit Ranchal, Cambridge, MA (US);

Uttam Thakore, Urbana, IL (US);

HariGovind Venkatraj Ramasamy, Round Rock, TX (US);

Yi-hsiu Wei, Austin, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 12/24 (2006.01); G06F 11/30 (2006.01); G06F 16/23 (2019.01); G06N 20/00 (2019.01); G06K 9/62 (2006.01); G06F 16/2455 (2019.01);
U.S. Cl.
CPC ...
H04L 41/50 (2013.01); G06F 11/3072 (2013.01); G06F 16/2358 (2019.01); G06F 16/24564 (2019.01); G06K 9/6256 (2013.01); G06N 20/00 (2019.01); H04L 41/16 (2013.01);
Abstract

A method, apparatus, system, and computer program product for facilitating evidence collection. A set of evidence requirements is identified by computer system in which the set of evidence requirements is for a control that manages a set of resources in the computer system to enforce a policy in the computer system. Labels are associated by the computer system with historical evidence for the set of requirements. The historical evidence comprises prior evidence collected for compliance with the set of evidence requirements for the control and was accepted to meet the set of evidence requirements for the control. The historical evidence with the labels form labeled historical evidence. Rules for mining evidence for the set of evidence requirements for the control using the labeled historical evidence are learned by a machine learning model in the computer system.


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