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公开(公告)号：US20240362565A1
公开(公告)日：2024-10-31
申请号：US18766609
申请日：2024-07-08
发明人： Zehua SHAO , Yong LI , Siwei ZENG , Lei ZHANG , Lei HE
摘要： Disclosed is a method and an Internet of Things (IoT) system for management and control of pipeline corridor emergency materials based on smart gas supervision. The IoT system comprises a smart gas company management platform, a gas equipment object platform, and a government gas supervision management platform. The smart gas company management platform is configured to: obtain at least one of operation and maintenance data, geographic information, and operation filing data of a pipeline corridor; obtain pipeline corridor monitoring data and gas monitoring data of the pipeline corridor through the gas equipment object platform; obtain population data and other pipeline data through the government gas supervision management platform; assess risk responsivities of different storage locations; determine adjustment information of the storage locations; and send the adjustment information to the government gas supervision management platform, and in response to determining that the government gas supervision management platform determines to perform adjustment of the storage locations, enable the smart gas company management platform to adjust, based on the adjustment information, parameters of an environmental adjustment device.
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公开(公告)号：US20240362564A1
公开(公告)日：2024-10-31
申请号：US18643384
申请日：2024-04-23
IPC分类号： G06Q10/0635
CPC分类号： G06Q10/0635
摘要： Various methods, apparatuses/systems, and media for proactive third party risk monitoring and management are disclosed. A processor identifies base criteria that is already known data about third party suppliers who provide services to an organization; runs the base criteria continuously according to a configurable time window to identify suppliers that meet a certain set of the base criteria; implements a control assessment process to curate triggers data, that are not yet validated, received from external sources in addition to the base criteria; automatically matches the triggers data with corresponding scenario which is a predefined or preconfigured combination of base criteria and trigger criteria; implements a validation process to identify critical threat associated with the particular supplier by eliminating false positives from the match; and automatically assigns, in response to a positive validation result, a priority to the particular supplier for continuous risk monitoring and management to eliminate or remediate the identified critical threat.
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公开(公告)号：US20240362562A1
公开(公告)日：2024-10-31
申请号：US18141072
申请日：2023-04-28
IPC分类号： G06Q10/0635 , G06N5/04
CPC分类号： G06Q10/0635 , G06N5/04
摘要： A method, apparatus and system for performing asset lifecycle modelling. The model is used to test various asset intervention hypotheses to generate a hazard rate and an intervention rate that may be used to minimize hazard risk across a system comprising assets that fail over their lifetimes.
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公开(公告)号：USRE50192E1
公开(公告)日：2024-10-29
申请号：US18199272
申请日：2023-05-18
申请人： X-Act Science, Inc.
发明人： Nabil A. Abu El Ata
IPC分类号： G06F17/00 , G06F17/10 , G06Q10/06 , G06Q10/0635 , G06Q10/0637 , G06Q10/0639
CPC分类号： G06Q10/0635 , G06F17/10 , G06Q10/06 , G06Q10/06375 , G06Q10/06393 , G06Q10/06395
摘要： The dynamic complexity and the operational risk inherent in a system are defined and incorporated into a mathematical model of the system. The mathematical model is emulated to predict the states of instability that can occur within the operation of the system. Dynamic complexity of a service is demonstrated where there is an observed effect where the cause can be multiple and seemingly inter-related effects of a many-to-one or many-to-many relationship. Having assessed the dynamic complexity efficiency and the operational risk index of a service (e.g., a business, process or information technology), these indexes can be employed to emulate all attributes of a service, thereby determining how a service responds in multiple states of operation, the states where the dynamic complexity of a service can occur, optimal dynamic complexity efficiency of a service, and the singularities wherein a service becomes unstable.
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公开(公告)号：US12131280B2
公开(公告)日：2024-10-29
申请号：US18361250
申请日：2023-07-28
申请人： Citibank, N.A.
发明人： Maneet Sharma , Flora Sah , Adar Kiran Danait , Ashima Gupta , James Iacona , Crystal Lynn Magruder , Tracy L. Yager
IPC分类号： G06Q10/0635 , G06F40/44
CPC分类号： G06Q10/0635 , G06F40/44
摘要： Systems and methods are described for a three-tiered artificial intelligence architecture that synchronizes processing statement deployment across diverse computer networks. The system may receive, at a user interface, a first request for a first recommendation. The first recommendation includes a set of standardized processing statements for implementing on a function. The system may input the first request into a first network component. The first network component includes first, second, and third models. The first model is trained to generate a library of standardized processing statements. The second model is trained to generate a plurality of standardized processing characteristic values for each standardized processing statement in the library. The third model is trained to generate recommendations of sets of standardized processing statements to functions. The system receives an output from the first network component and generates for display the first recommendation based on the output.
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公开(公告)号：US20240354680A1
公开(公告)日：2024-10-24
申请号：US18645183
申请日：2024-04-24
发明人： Sanjay Jeyakumar , Evan Reiser , Abhijit Bagri , Maritza Perez , Vineet Edupuganti , Yingkai Gao , Umut Gultepe , Cheng-Lin Yeh , Mark Philip , Tejas Khot , Thomas Dawes , Sanish Mahadik , Benjamin Snider , Cheng Li , Nirmal Balachundhar , Adithya Vellal , Lucas Sonnabend
IPC分类号： G06Q10/0635 , H04L9/40
CPC分类号： G06Q10/0635 , H04L63/1416 , H04L63/1425
摘要： Introduced here is a network-accessible platform (or simply “platform”) that is designed to monitor digital activities that are performed across different services to ascertain, in real time, threats to the security of an enterprise. In order to surface insights into the threats posed to an enterprise, the platform can apply machine learning models to data that is representative of digital activities performed on different services with respective accounts. Each model may be trained to understand what constitutes normal behavior for a corresponding employee with respect to a single service or multiple services. Not only can these models be autonomously trained for the employees of the enterprise, but they can also be autonomously applied to detect, characterize, and catalog those digital activities that are indicative of a threat.
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公开(公告)号：US20240346424A1
公开(公告)日：2024-10-17
申请号：US18609584
申请日：2024-03-19
申请人： deepwatch, Inc.
IPC分类号： G06Q10/0639 , G06F16/2455 , G06F21/57 , G06N20/00 , G06Q10/0635 , G06Q10/0637 , G06Q30/018 , G06Q50/26
CPC分类号： G06Q10/06393 , G06F16/24564 , G06F21/577 , G06N20/00 , G06Q10/0635 , G06Q10/06375 , G06Q30/018 , G06Q50/26 , G06F2221/034
摘要： Systems and methods for assessing, tracking and improving security maturity of an organization are provided. Described is a system for assessing security maturity of an organization. The system receives a list of data sources located across multiple jurisdictions for the organization, collects data sources/data using custom rules from a plurality of data sources of the list of data sources, determine criticality score for each of the plurality of data sources, calculates data source coverage and asset collection coverage, determines use case coverage, and determines security maturity score using a maturity score model. The maturity score model is a logistic equation which is a function of the data source coverage, the asset collection coverage, the criticality score associated with each of the plurality of data sources, the use case coverage, asset coverage by each the plurality of data sources.
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公开(公告)号：US12118494B1
公开(公告)日：2024-10-15
申请号：US18531183
申请日：2023-12-06
申请人： Asper.AI Inc.
发明人： Guha Athreya , Yadunath Gupta , Vibhor Mishra , Pooja Jayaprakash , Raul Jurado
IPC分类号： G06Q10/06 , G06Q10/04 , G06Q10/0635
CPC分类号： G06Q10/0635 , G06Q10/04
摘要： A system and a method for mitigating risk associated with a machine-generated forecast. The system may receive data comprising at least one of product attributes, historical demand for a set of Stock Keeping Units (SKUs), a machine-generated forecast for the set of SKUs, and historical forecast adjustment for the set of SKUs. Further, the system may determine one or more metrics based on the received data. The one or more metrics are fed to a risk analyzer model. A Demand Planning Risk Index (DPRI) score for an SKU from the set of SKUs may be generated using the risk analyzer model. The DPRI score indicates a risk quotient for the SKU. Further, a forecast adjustment for the SKU with a high risk quotient may be recommended to mitigate the risk associated with the machine-generated forecast of the SKU.
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公开(公告)号：US20240330818A1
公开(公告)日：2024-10-03
申请号：US18361250
申请日：2023-07-28
申请人： Citibank, N.A.
发明人： Maneet SHARMA , Flora SAH , Adar Kiran DANAIT , Ashima GUPTA , James IACONA , Crystal Lynn MAGRUDER , Tracy L. YAGER
IPC分类号： G06Q10/0635 , G06F40/44
CPC分类号： G06Q10/0635 , G06F40/44
摘要： Systems and methods are described for a three-tiered artificial intelligence architecture that synchronizes processing statement deployment across diverse computer networks. The system may receive, at a user interface, a first request for a first recommendation. The first recommendation includes a set of standardized processing statements for implementing on a function. The system may input the first request into a first network component. The first network component includes first, second, and third models. The first model is trained to generate a library of standardized processing statements. The second model is trained to generate a plurality of standardized processing characteristic values for each standardized processing statement in the library. The third model is trained to generate recommendations of sets of standardized processing statements to functions. The system receives an output from the first network component and generates for display the first recommendation based on the output.
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公开(公告)号：US20240330817A1
公开(公告)日：2024-10-03
申请号：US18192196
申请日：2023-03-29
申请人： David F. Whitehead
发明人： David F. Whitehead
IPC分类号： G06Q10/0635
CPC分类号： G06Q10/0635
摘要： An entity interaction data store contains electronic records associated with interaction identifiers. For each interaction identifier, the data store includes an account identifier, an entity identifier, and interaction parameters. A risk relationship data store contains electronic records for accounts having risk relationships with an enterprise. A back-end application computer server may associate selected interaction identifiers in the entity interaction data store with selected accounts having risk relationships with the enterprise. The computer server may then retrieve interaction parameters from the entity interaction data store and risk relationship parameters from the risk relationship data store and provide the retrieved interactions parameters to an enterprise predictive model that outputs an interaction insight result. The computer server may also facilitate an exchange of data with a remote device to support interactive user interface displays that include information about the interaction insight result.
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