Invention Grant
- Patent Title: Machine learning model abstraction layer for runtime efficiency
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Application No.: US17956088Application Date: 2022-09-29
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Publication No.: US11861472B2Publication Date: 2024-01-02
- Inventor: Rex Shang , Dianhuan Lin , Changsha Ma , Douglas A. Koch , Shashank Gupta , Parnit Sainion , Visvanathan Thothathri , Narinder Paul , Howie Xu
- Applicant: Zscaler, Inc.
- Applicant Address: US CA San Jose
- Assignee: Zscaler, Inc.
- Current Assignee: Zscaler, Inc.
- Current Assignee Address: US CA San Jose
- Agency: Baratta Law PLLC
- Agent Lawrence A. Baratta, Jr.
- Main IPC: G06F21/00
- IPC: G06F21/00 ; G06N20/00 ; G06F16/901 ; G06F18/214

Abstract:
Systems and methods include receiving a trained machine learning model that has been processed with training information removed therefrom, wherein the training information is utilized in training of the trained machine learning model; monitoring traffic, inline at the node, including processing the traffic with the trained machine learning model; obtaining a verdict on the traffic based on the trained machine learning model; and performing an action on the traffic based on the verdict.
Public/Granted literature
- US20230018188A1 Machine learning model abstraction layer for runtime efficiency Public/Granted day:2023-01-19
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