Abstract: According to one embodiment, a method for performing domain-wide authentication and authorization in a cloud-based environment can comprise receiving, from a third-party service of the cloud-based environment, a request to perform authentication and authorization of a user of the third-party service for accessing a cloud-based storage system of the cloud-based environment. A mapping of the user of the third-party service to a user account of the cloud-based storage system can be generated and one or more tokens for the user of the third-party service can in turn be generated based on the mapping of the user of the third-party service to the user account of the cloud-based storage system. The one or more tokens can provide access to services of the cloud-based storage system. The one or more tokens can be provided to the third-party service.

Abstract: The systems and methods disclosed herein receive alphanumeric characters defining operative boundaries for expected model use cases, along with operational data. The expected model use cases share common attributes, which are used by a first AI model to construct observed model use cases from the operational data. Each observed model use case includes features such as a text-based description, expected input and output, AI model(s) generating the expected output from the input, and/or data supporting the AI models. For each observed model use case, a second AI model maps the alphanumeric characters and features to a risk category, selecting from multiple risk categories based on the level of risk associated with the features. The system identifies criteria for the observed model use case within the alphanumeric characters and generates gaps by comparing the criteria with the features of the observed model use case.

Abstract: The systems and methods disclosed herein receives, from a computing device, operational data indicating software or hardware assets used on informational assets, and obtains set of alphanumeric characters defining operative boundaries for expected system assets, which include a set of common attributes. Using the set of attributes, a first set of AI models determines observed system assets from the operational data, each with specific features. A second set of AI models associates each information asset with the corresponding observed system assets. For each observed system asset, a third set of AI models identifies criteria within the alphanumeric characters, compares the criteria with the asset's features to identify gaps, and generates actions to ensure the observed system asset meets the identified criteria.

Abstract: The systems and methods disclosed herein receives, from a computing device, operational data indicating software or hardware assets used on informational assets, and obtains a set of alphanumeric characters defining operative boundaries for expected system assets, which include a set of common attributes. Using the set of attributes, a first set of AI models determines observed system assets from the operational data, each with specific features. A second set of AI models associates each information asset with the corresponding observed system assets. For each observed system asset, a third set of AI models identifies criteria within the alphanumeric characters, compares the criteria with the asset's features to identify gaps, and generates actions to ensure the observed system asset meets the identified criteria.

Abstract: The systems and methods disclosed herein receive alphanumeric characters defining operative boundaries for expected model use cases, along with operational data. The expected model use cases share common attributes, which are used by a first AI model to construct observed model use cases from the operational data. Each observed model use case includes features such as a text-based description, expected input and output,? AI model(s) generating the expected output from the input, and/or data supporting the AI models. For each observed model use case, a second AI model maps the alphanumeric characters and features to a risk category, selecting from multiple risk categories based on the level of risk associated with the features. The system identifies criteria for the observed model use case within the alphanumeric characters and generates gaps by comparing the criteria with the features of the observed model use case.

Abstract: The systems and methods disclosed herein receive alphanumeric characters defining operative boundaries for expected model use cases, along with operational data. The expected model use cases share common attributes, which are used by a first AI model to construct observed model use cases from the operational data. Each observed model use case includes features such as a text-based description, expected input and output,? AI model(s) generating the expected output from the input, and/or data supporting the AI models. For each observed model use case, a second AI model maps the alphanumeric characters and features to a risk category, selecting from multiple risk categories based on the level of risk associated with the features. The system identifies criteria for the observed model use case within the alphanumeric characters and generates gaps by comparing the criteria with the features of the observed model use case.

Abstract: At least one example embodiment discloses a section of an electronic-vaping device including a pressure sensor configured to measure a current ambient pressure, the pressure sensor further configured to output the current ambient pressure measurement in accordance with a read request frequency, and a controller configured to determine a mode of operation of the electronic-vaping device, control the read request frequency based on the determined mode of operation, and detect a threshold pressure change based on the current ambient pressure and a baseline pressure.

Abstract: The systems and methods disclosed herein receives, from a computing device, operational data indicating software or hardware assets used on informational assets, and obtains set of alphanumeric characters defining operative boundaries for expected system assets, which include a set of common attributes. Using the set of attributes, a first set of AI models determines observed system assets from the operational data, each with specific features. A second set of AI models associates each information asset with the corresponding observed system assets. For each observed system asset, a third set of AI models identifies criteria within the alphanumeric characters, compares the criteria with the asset's features to identify gaps, and generates actions to ensure the observed system asset meets the identified criteria.

Abstract: At least one example embodiment discloses a section of an electronic-vaping device including a pressure sensor configured to measure a current ambient pressure, the pressure sensor further configured to output the current ambient pressure measurement in accordance with a read request frequency, and a controller configured to determine a mode of operation of the electronic-vaping device, control the read request frequency based on the determined mode of operation, and detect a threshold pressure change based on the current ambient pressure and a baseline pressure.

Abstract: The systems and methods disclosed herein receive alphanumeric characters defining operative boundaries for expected model use cases, along with operational data. The expected model use cases share common attributes, which are used by a first AI model to construct observed model use cases from the operational data. Each observed model use case includes features such as a text-based description, expected input and output, AI model(s) generating the expected output from the input, and/or data supporting the AI models. For each observed model use case, a second AI model maps the alphanumeric characters and features to a risk category, selecting from multiple risk categories based on the level of risk associated with the features. The system identifies criteria for the observed model use case within the alphanumeric characters and generates gaps by comparing the criteria with the features of the observed model use case.

Abstract: Methods, systems and computer program products for shared content management systems. In a content management system that supports multiple applications that operate on shared documents, multiple modules are operatively interconnected to make and present activity-based application recommendations. Techniques for making activity-based application recommendations include recording a series of interaction events from multiple users, which events correspond to a series of interactions performed by a plurality of applications over a shared content object. Constituent interaction events from the series of interactions are analyzed to determine a set of recommended applications. The set of recommended applications is presented to a user in a dynamically-populated user interface.

Abstract: According to one embodiment, a method for performing domain-wide authentication and authorization in a cloud-based environment can comprise receiving, from a third-party service of the cloud-based environment, a request to perform authentication and authorization of a user of the third-party service for accessing a cloud-based storage system of the cloud-based environment. A mapping of the user of the third-party service to a user account of the cloud-based storage system can be generated and one or more tokens for the user of the third-party service can in turn be generated based on the mapping of the user of the third-party service to the user account of the cloud-based storage system. The one or more tokens can provide access to services of the cloud-based storage system. The one or more tokens can be provided to the third-party service.

Abstract: At least one example embodiment discloses a section of an electronic-vaping device including a pressure sensor configured to measure a current ambient pressure, the pressure sensor further configured to output the current ambient pressure measurement in accordance with a read request frequency, and a controller configured to determine a mode of operation of the electronic-vaping device, control the read request frequency based on the determined mode of operation, and detect a threshold pressure change based on the current ambient pressure and a baseline pressure.

Abstract: A user interface is configured to present a stream of activities that arise from operation of two or more heterogeneous applications that access shared content objects of a content management system. A first application of a first type among the heterogeneous applications interoperates with a second application of a second type. Application activity records that correspond to interactions by the second application over the shared content objects are stored. Additional interactions that are raised by the first application and that pertain to a common content object are also stored. When a user requests access to a content object of the content management system, recent application activity records are selected. Some of the selected activity records are filtered out based on permissions attributes corresponding to the content object and/or based on permissions attributes corresponding to the requesting user. An application activity stream is generated based on the selected application activity records.

Abstract: At least one example embodiment discloses a section of an electronic-vaping device including a pressure sensor configured to measure a current ambient pressure, the pressure sensor further configured to output the current ambient pressure measurement in accordance with a read request frequency, and a controller configured to determine a mode of operation of the electronic-vaping device, control the read request frequency based on the determined mode of operation, and detect a threshold pressure change based on the current ambient pressure and a baseline pressure.

Abstract: Methods, systems and computer program products for shared content management systems. In a content management system that supports multiple applications that operate on shared documents, multiple modules are operatively interconnected to make and present activity-based application recommendations. Techniques for making activity-based application recommendations include recording a series of interaction events from multiple users, which events correspond to a series of interactions performed by a plurality of applications over a shared content object. Constituent interaction events from the series of interactions are analyzed to determine a set of recommended applications. The set of recommended applications is presented to a user in a dynamically-populated user interface.

Abstract: A user interface is configured to present a stream of activities that arise from operation of two or more heterogeneous applications that access shared content objects of a content management system. A first application of a first type among the heterogeneous applications interoperates with a second application of a second type. Application activity records that correspond to interactions by the second application over the shared content objects are stored. Additional interactions that are raised by the first application and that pertain to a common content object are also stored. When a user requests access to a content object of the content management system, recent application activity records are selected. Some of the selected activity records are filtered out based on permissions attributes corresponding to the content object and/or based on permissions attributes corresponding to the requesting user. An application activity stream is generated based on the selected application activity records.

Abstract: At least one example embodiment discloses a section of an electronic-vaping device including a pressure sensor configured to measure a current ambient pressure, the pressure sensor further configured to output the current ambient pressure measurement in accordance with a read request frequency, and a controller configured to determine a mode of operation of the electronic-vaping device, control the read request frequency based on the determined mode of operation, and detect a threshold pressure change based on the current ambient pressure and a baseline pressure.

Abstract: Systems and methods are disclosed for debug session management. For example, methods may include receiving a request from a client device and, in response, identifying a set of instructions to be executed, wherein the set of instructions is associated with at least one breakpoint. The methods may include initiating execution of the set of instructions. The methods may include determining, based on a marker, that pausing execution of the set of instructions using a data structure is permitted, and responsive to this determination: pausing execution of the set of instructions before executing an instruction associated with a breakpoint, and updating the marker to indicate that execution of the set of instructions has paused using the data structure.

Abstract: A system including a data center hosting a representational state transfer (REST) server in communication with a client network, wherein the REST server includes a GraphQL schema describing tables and fields of a communicatively coupled database. The REST server is configured to: receive a request that includes a GraphQL query; open a streaming connection to the client network; and output a beginning of a response via the streaming connection. The REST server is also configured to process the GraphQL query based on the GraphQL schema to generate a GraphQL result, and to output the GraphQL result in a body of the response via the streaming connection. The REST server is further configured to output an end of the response via the streaming connection, such that the response is correctly formatted in JavaScript Object Notation (JSON).