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USING MACHINE-LEARNING MODELS TO AUTHENTICATE USERS AND PROTECT ENTERPRISE-MANAGED INFORMATION AND RESOURCES
USING MACHINE-LEARNING MODELS TO AUTHENTICATE USERS AND PROTECT ENTERPRISE-MANAGED INFORMATION AND RESOURCES
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机译：使用机器学习模型来验证用户并保护企业管理的信息和资源
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摘要
Aspects of the disclosure relate to using machine-learning models to authenticate users and protect enterprise-managed information and resources. In some embodiments, a computing platform may receive user interaction data from enterprise computing infrastructure and may train one or more authentication models based on this data. Subsequently, the computing platform may receive, from a first application server, a request to authenticate a first user to a first user account in a first usage session hosted by the first application server. In response to receiving this request, the computing platform may identify whether session-specific interaction data for the first usage session is valid based on the one or more authentication models. If the interaction data is identified as being valid, the computing platform may generate and send one or more commands directing the first application server to allow the first user to access the first user account in the first usage session.
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