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:
Feb. 23, 2021

Filed:

Feb. 12, 2020
Applicant:

Obsidian Security, Inc., Newport Beach, CA (US);

Inventors:

Matt Wolff, Newport Beach, CA (US);

Alexander Vandenberg-Rodes, Costa Mesa, CA (US);

Naresh Chebolu, Irvine, CA (US);

Marcus Mccurdy, Haddon Township, NJ (US);

Matthew Maisel, Philadelphia, PA (US);

Jody Forness, Laguna Beach, CA (US);

Jedidiah Mitten, Lakeside, CA (US);

Noah Corradin, Corona Del Mar, CA (US);

Samantha Staszak, Costa Mesa, CA (US);

David Newhall, Tustin, CA (US);

Christopher Galbraith, Irvine, CA (US);

Christopher Fuller, Stonehouse, GB;

Brian Lau, Huntington Beach, CA (US);

Benjamin Johnson, Newport Beach, CA (US);

Assignee:

Obsidian Security, Inc., Newport Beach, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/56 (2013.01); H04L 29/06 (2006.01); G06N 7/00 (2006.01); H04L 29/08 (2006.01); G06F 21/31 (2013.01);
U.S. Cl.
CPC ...
H04L 63/1425 (2013.01); G06F 21/316 (2013.01); G06F 21/566 (2013.01); G06N 7/005 (2013.01); H04L 63/14 (2013.01); H04L 63/1441 (2013.01); H04L 67/22 (2013.01);
Abstract

A method, a system, and an article are provided for identification of security-related activities based on usage of a plurality of independent cloud-based, hosted application platforms. An example method includes: receiving, from the application platforms, activity data and state data for a plurality of users of the application platforms; generating one or more predictive models configured to detect deviations from normal user behavior across the application platforms; providing, as input to the one or more predictive models, the activity data and the state data for at least one of the users; receiving, from the one or more predictive models, an indication that an activity of the at least one of the users deviates from the normal user behavior; and facilitating a remedial action to address the indicated deviation.


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