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:
Sep. 12, 2023

Filed:

Jun. 25, 2020
Applicant:

Informatica Llc, Redwood City, CA (US);

Inventors:

Gregorio Convertino, Sunnyvale, CA (US);

Tianyi Li, Blacksburg, VA (US);

Gary Patterson, San Ramon, CA (US);

Ranjeet Kumar Tayi, Fremont, CA (US);

Shima Kazerooni, Redwood City, CA (US);

Assignee:

Informatica LLC, Redwood City, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04L 29/06 (2006.01); H04L 9/40 (2022.01); H04L 41/14 (2022.01); H04L 41/0823 (2022.01); H04L 41/0893 (2022.01); G06F 16/242 (2019.01); G06F 16/25 (2019.01); G06F 16/2457 (2019.01);
U.S. Cl.
CPC ...
H04L 63/20 (2013.01); G06F 16/244 (2019.01); G06F 16/24578 (2019.01); G06F 16/254 (2019.01); H04L 41/0823 (2013.01); H04L 41/0893 (2013.01); H04L 41/145 (2013.01);
Abstract

A system, method and computer-readable medium for data protection simulation and optimization in a computer network, including grouping data stored in data stores in the computer network into groupings according to an architectural or a conceptual attributes, storing, current values of risk metrics for each grouping, each of the metrics corresponding to sensitive domains, receiving a risk reduction goal corresponding to at least one risk metric in the risk metrics, the at least one risk metric corresponding to at least one sensitive domain in the sensitive domains, determining a simulated value of the at least one risk metric for each grouping in the groupings by simulating application of a protection mechanism to sensitive data in each corresponding data store, the sensitive data corresponding to the at least one sensitive domain, and ranking the groupings based on the at least one simulated value of the at least one risk metric for each grouping.


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