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:
Jun. 16, 2026

Filed:

Nov. 14, 2024
Applicant:

Cisco Technology, Inc., San Jose, CA (US);

Inventors:

Kristal Curtis, San Francisco, CA (US);

William Deaderick, Austin, TX (US);

Tanner Gilligan, San Bruno, CA (US);

Joseph Ross, Redwood City, CA (US);

Abraham Starosta, Boston, MA (US);

Sichen Zhong, Santa Clara, CA (US);

Assignee:

Cisco Technology, Inc., San Jose, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/22 (2019.01); G06F 16/242 (2019.01); G06F 16/2458 (2019.01); G06F 16/28 (2019.01);
U.S. Cl.
CPC ...
G06F 16/242 (2019.01); G06F 16/22 (2019.01); G06F 16/2474 (2019.01); G06F 16/287 (2019.01);
Abstract

Implementations of this disclosure provide an anomaly detection system and methods of performing anomaly detection on a time-series dataset. Some implementations are directed to performing health status checks on the time-series that results in a predicted health status of the time-series dataset. Following performance of one or more health status checks, a report or flag may be generated. In some instances, the report or flag indicates the predicted health status. In other instances, the flag or report indicates which of the one or more health status checks that were failed by the time-series dataset. In some implementations, the one or more health checks include deployment of a trained machine learning model configured to determine and classify a predicted health score of the time-series data set.


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