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US Patent 12107837 Cloud based machine learning notebook data loss prevention

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
121078371
Patent Inventor Names
Hari Bhaskar Sankaranarayanan1
Jean-Rene Gauthier1
Date of Patent
October 1, 2024
1
Patent Application Number
177156501
Date Filed
April 7, 2022
1
Patent Citations
‌
US Patent 11513772 System and method of providing an interactive development platform in a distributed computing environment
1
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US Patent 10198399 Cryptographically secure machine learning
1
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US Patent 10216744 Data migration to a cloud computing system
1
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US Patent 8914892 Method and system to enhance accuracy of a data leak prevention (DLP) system
1
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US Patent 10154039 Hierarchical policy-based shared resource access control
1
Patent Primary Examiner
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Syed A Zaidi
1
CPC Code
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H04L 63/1433
1
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G06N 5/022
1
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G06F 21/602
1
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H04L 63/04
1
Patent abstract

Embodiments secure data on a cloud based network that comprises one or more machine learning (“ML”) notebooks. Embodiments monitor activity on each of the ML notebooks, the activity including one or more commands. Embodiments classify each of the commands, the classifying including generating input parameters. Based on the input parameters, embodiments determine a risk score for each of the ML notebooks. When the risk score exceeds a predetermined threshold, embodiments generate an alert.

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