Invention Grant
- Patent Title: Detection of anomalous count of new entities
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Application No.: US16938776Application Date: 2020-07-24
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Publication No.: US11652833B2Publication Date: 2023-05-16
- Inventor: Hani Hana Neuvirth , Dawn A. Burns , Andrey Karpovsky , Yotam Livny
- Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC
- Applicant Address: US WA Redmond
- Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
- Current Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
- Current Assignee Address: US WA Redmond
- Agency: Newport IP, LLC
- Agent Han K. Gim
- Main IPC: H04L9/40
- IPC: H04L9/40 ; G06F16/2458

Abstract:
An indication of a security alert and a context for the security alert is received. The context includes one or more entities related to the context and a timestamp for the security alert. Data sources for the one or more entities are searched during a time window around the timestamp. One or more anomaly detection models are executed to identify anomalies that are related to the security alert based on the context. Identified anomalies for investigation of the security alert are output.
Public/Granted literature
- US20220030019A1 DETECTION OF ANOMALOUS COUNT OF NEW ENTITIES Public/Granted day:2022-01-27
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