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公开(公告)号：US12045881B2
公开(公告)日：2024-07-23
申请号：US18464865
申请日：2023-09-11
申请人： ZenPayroll, Inc.
发明人： Peter Sugimura , Karlotcha Hoa , Benjamin Paik , Sarah Lippitt , Mariam Issa
CPC分类号： G06Q40/03 , G06N20/00 , G06Q40/125
摘要： A central database system allows entities to easily manage human resources functions. An entity requests that the central database system executes an employer function on its behalf, and the central database system determines a probability of the entity defaulting before the entity can finalize the employer function with the central database system. The central database system can train and apply a machine-learned model to dynamically determine the default probability for the entity. Based on the default probability, the central database system determines a risk tolerance associated with the employer function and determines whether to process or challenge the employer function based on the risk tolerance and the default probability.
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公开(公告)号：US20230419405A1
公开(公告)日：2023-12-28
申请号：US18464865
申请日：2023-09-11
申请人： ZenPayroll, Inc.
发明人： Peter Sugimura , Karlotcha Hoa , Benjamin Paik , Sarah Lippitt , Mariam Issa
CPC分类号： G06Q40/03 , G06N20/00 , G06Q40/125
摘要： A central database system allows entities to easily manage human resources functions. An entity requests that the central database system executes an employer function on its behalf, and the central database system determines a probability of the entity defaulting before the entity can finalize the employer function with the central database system. The central database system can train and apply a machine-learned model to dynamically determine the default probability for the entity. Based on the default probability, the central database system determines a risk tolerance associated with the employer function and determines whether to process or challenge the employer function based on the risk tolerance and the default probability.
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公开(公告)号：US11790441B2
公开(公告)日：2023-10-17
申请号：US18080102
申请日：2022-12-13
申请人： ZenPayroll, Inc.
发明人： Peter Sugimura , Karlotcha Hoa , Benjamin Paik , Sarah Lippitt , Mariam Issa
CPC分类号： G06Q40/03 , G06N20/00 , G06Q40/125
摘要： A central database system allows entities to easily manage human resources functions. An entity requests that the central database system executes an employer function on its behalf, and the central database system determines a probability of the entity defaulting before the entity can finalize the employer function with the central database system. The central database system can train and apply a machine-learned model to dynamically determine the default probability for the entity. Based on the default probability, the central database system determines a risk tolerance associated with the employer function and determines whether to process or challenge the employer function based on the risk tolerance and the default probability.
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公开(公告)号：US20230110508A1
公开(公告)日：2023-04-13
申请号：US18080102
申请日：2022-12-13
申请人： ZenPayroll, Inc.
发明人： Peter Sugimura , Karlotcha Hoa , Benjamin Paik , Sarah Lippitt , Mariam Issa
摘要： A central database system allows entities to easily manage human resources functions. An entity requests that the central database system executes an employer function on its behalf, and the central database system determines a probability of the entity defaulting before the entity can finalize the employer function with the central database system. The central database system can train and apply a machine-learned model to dynamically determine the default probability for the entity. Based on the default probability, the central database system determines a risk tolerance associated with the employer function and determines whether to process or challenge the employer function based on the risk tolerance and the default probability.
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公开(公告)号：US11200338B2
公开(公告)日：2021-12-14
申请号：US16355491
申请日：2019-03-15
申请人： ZenPayroll, Inc.
发明人： Karlotcha Hoa
IPC分类号： G06F21/62 , G06F21/55 , G06F9/54 , G06F16/22 , G06F16/248 , G06F16/2457
摘要： Access to sensitive information in a database can be restricted to improve security and enable efficient auditing. A security engine receives a request from a requesting entity to access data in the database and determines that the requested data includes sensitive information. In response to the requesting entity being authorized to access the data, the security engine retrieves the requested data from the database and modifies the retrieved data by modifying metadata of the retrieved data to include a tag indicating that the retrieved data includes sensitive information. The security engine provides the modified data to the requesting entity and modifies a data access log to identify each attempted access to the modified data. When sensitive data is requested, an interface can include an obscuring element, requiring a user to manually select the element to view the data, enabling the logging of the explicit access request by the user.
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公开(公告)号：US11775678B2
公开(公告)日：2023-10-03
申请号：US17521817
申请日：2021-11-08
申请人： ZenPayroll, Inc.
发明人： Karlotcha Hoa
IPC分类号： G06F21/62 , G06F21/55 , G06F9/54 , G06F16/22 , G06F16/248 , G06F16/2457
CPC分类号： G06F21/6245 , G06F9/542 , G06F16/221 , G06F16/248 , G06F16/24573 , G06F21/554
摘要： Access to sensitive information in a database can be restricted to improve security and enable efficient auditing. A security engine receives a request from a requesting entity to access data in the database and determines that the requested data includes sensitive information. In response to the requesting entity being authorized to access the data, the security engine retrieves the requested data from the database and modifies the retrieved data by modifying metadata of the retrieved data to include a tag indicating that the retrieved data includes sensitive information. The security engine provides the modified data to the requesting entity and modifies a data access log to identify each attempted access to the modified data. When sensitive data is requested, an interface can include an obscuring element, requiring a user to manually select the element to view the data, enabling the logging of the explicit access request by the user.
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公开(公告)号：US11556982B2
公开(公告)日：2023-01-17
申请号：US17012050
申请日：2020-09-04
申请人： ZenPayroll, Inc.
发明人： Peter Sugimura , Karlotcha Hoa , Benjamin Paik , Sarah Lippitt , Mariam Issa
摘要： A central database system allows entities to easily manage human resources functions. An entity requests that the central database system executes an employer function on its behalf, and the central database system determines a probability of the entity defaulting before the entity can finalize the employer function with the central database system. The central database system can train and apply a machine-learned model to dynamically determine the default probability for the entity. Based on the default probability, the central database system determines a risk tolerance associated with the employer function and determines whether to process or challenge the employer function based on the risk tolerance and the default probability.
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公开(公告)号：US20200293681A1
公开(公告)日：2020-09-17
申请号：US16355491
申请日：2019-03-15
申请人： ZenPayroll, Inc.
发明人： Karlotcha Hoa
IPC分类号： G06F21/62 , G06F21/55 , G06F16/2457 , G06F16/22 , G06F16/248 , G06F9/54
摘要： Access to sensitive information in a database can be restricted to improve security and enable efficient auditing. A security engine receives a request from a requesting entity to access data in the database and determines that the requested data includes sensitive information. In response to the requesting entity being authorized to access the data, the security engine retrieves the requested data from the database and modifies the retrieved data by modifying metadata of the retrieved data to include a tag indicating that the retrieved data includes sensitive information. The security engine provides the modified data to the requesting entity and modifies a data access log to identify each attempted access to the modified data. When sensitive data is requested, an interface can include an obscuring element, requiring a user to manually select the element to view the data, enabling the logging of the explicit access request by the user.
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公开(公告)号：US20240346583A1
公开(公告)日：2024-10-17
申请号：US18752126
申请日：2024-06-24
申请人： ZenPayroll, Inc.
发明人： Peter Sugimura , Karlotcha Hoa , Benjamin Paik , Sarah Lippitt , Mariam Issa
CPC分类号： G06Q40/03 , G06N20/00 , G06Q40/125
摘要： A central database system allows entities to easily manage human resources functions. An entity requests that the central database system executes an employer function on its behalf, and the central database system determines a probability of the entity defaulting before the entity can finalize the employer function with the central database system. The central database system can train and apply a machine-learned model to dynamically determine the default probability for the entity. Based on the default probability, the central database system determines a risk tolerance associated with the employer function and determines whether to process or challenge the employer function based on the risk tolerance and the default probability.
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公开(公告)号：US20230394175A1
公开(公告)日：2023-12-07
申请号：US18454378
申请日：2023-08-23
申请人： ZenPayroll, Inc.
发明人： Karlotcha Hoa
IPC分类号： G06F21/62 , G06F21/55 , G06F9/54 , G06F16/22 , G06F16/248 , G06F16/2457
CPC分类号： G06F21/6245 , G06F21/554 , G06F9/542 , G06F16/221 , G06F16/248 , G06F16/24573
摘要： Access to sensitive information in a database can be restricted to improve security and enable efficient auditing. A security engine receives a request from a requesting entity to access data in the database and determines that the requested data includes sensitive information. In response to the requesting entity being authorized to access the data, the security engine retrieves the requested data from the database and modifies the retrieved data by modifying metadata of the retrieved data to include a tag indicating that the retrieved data includes sensitive information. The security engine provides the modified data to the requesting entity and modifies a data access log to identify each attempted access to the modified data. When sensitive data is requested, an interface can include an obscuring element, requiring a user to manually select the element to view the data, enabling the logging of the explicit access request by the user.
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