Abstract: Methods and systems for providing security management services are disclosed. To provide security management services in a manner that reduces the quantity of hardware resources necessary to provide the security management services, the security manager may prioritize security management services based on the likelihood of individuals posing a security risk. To identify the security risks of the individuals, the paths of the individuals may be tracked and compared to typical paths through environments that are followed by most individuals that traverse through the environment. The individuals following a typical path may not indicate a security risk and a resource prioritization may be retained or decreased for the individuals not posing a security risk. The individuals not following a typical path may indicate a security risk and a resource prioritization may be increased for the individuals posing a security risk.

Abstract: Methods and systems for managing threats to data processing systems are disclosed. To manage the threats, multiple threat management models may be utilized. The threat management models may include centralized models that rely on operable connectivity to particular systems, and distributed models that do not rely on operable connectivity to the particular systems. The data processing systems may flexibly switch between use of these models to respond to changes in operably connectivity of a distributed system.

Abstract: Methods and systems for providing security management services are disclosed. To provide security management services in a manner that reduces the quantity of hardware resources necessary to provide the security management services, the security manager may prioritize security management services based on a trained state of a data processing system to modify a level of surveillance of the persons. By doing so, the device management services may only be provided when certain conditions are met rather than continuously. To place the data processing system in the trained state, the data processing system may need to be trained to predict paths that individuals are likely to traverse using training data. To obtain the training data, previously traversed paths of individuals may be tracked through an environment and stored into a database.

Abstract: Methods, apparatus, and processor-readable storage media for detecting anomalies in device telemetry data using distributional distance determinations are provided herein. An example computer-implemented method includes generating at least one reference data distribution for at least one telemetry data-related metric by processing historical telemetry data derived from devices using artificial intelligence techniques; generating, for at least one device, at least one data distribution for the at least one telemetry data-related metric by processing telemetry data derived from the at least one device using the artificial intelligence techniques; determining one or more distributional distance values by comparing at least a portion of the at least one data distribution to at least a portion of the at least one reference data distribution; identifying one or more anomalies based on the one or more distributional distance values; and performing automated actions based on the one or more identified anomalies.

Abstract: Methods and systems for providing computer implemented services using inference models are disclosed. The inference models may be obtained through federated learning, and may be used to generate output used in the computer implemented services. During the federated learning, instances of inference models may be generated using siloed data with distribution restrictions. Some of the instances of the inference models may be selected for continued learning to obtain a final inference model used to generate the output.

Abstract: Methods and systems for managing threats to data processing systems are disclosed. To manage the threats, multiple threat management models may be utilized. The threat management models may include centralized models that rely on operable connectivity to particular systems, and distributed models that do not rely on operable connectivity to the particular systems. The data processing systems may flexibly switch between use of these models to respond to changes in operably connectivity of a distributed system.

Abstract: Methods and systems for providing security management services are disclosed. To provide security management services in a manner that reduces the quantity of hardware resources necessary to provide the security management services, the security manager may prioritize security management services based on a trained state of a data processing system to modify a level of surveillance of the persons. By doing so, the device management services may only be provided when certain conditions are met rather than continuously. To place the data processing system in the trained state, the data processing system may need to be trained to predict paths that individuals are likely to traverse using training data. To obtain the training data, previously traversed paths of individuals may be tracked through an environment and stored into a database.

Abstract: Methods and systems for providing traffic management services are disclosed. To provide traffic management services in a manner that increases computational efficiency of hardware resources necessary to provide the traffic management services, a path manager may manage traffic management services based on fastest routes of individuals. To identify the fastest route of an individual, traversal times along routes between locations, in which the individual is to traverse, may be determined. These traversal times may be updated based on a population density observed using computer vision along the routes between the locations. Using the updated traversal times, a candidate fastest route may be determined, and the traffic may be managed based on the candidate fastest route.

Abstract: Methods and systems for providing security management services are disclosed. To provide security management services in a manner that reduces the quantity of hardware resources necessary to provide the security management services, the security manager may prioritize security management services based on the likelihood of individuals posing a security risk. To identify the security risks of the individuals, the paths of the individuals may be tracked and compared to typical paths through environments that are followed by most individuals that traverse through the environment. The individuals following a typical path may not indicate a security risk and a resource prioritization may be retained or decreased for the individuals not posing a security risk. The individuals not following a typical path may indicate a security risk and a resource prioritization may be increased for the individuals posing a security risk.

Abstract: Methods and systems for managing operation of data processing systems are disclosed. To manage operation of the data processing systems, telemetry data for the data processing systems may be collected and used to estimate the health of the data processing systems. The rates and types of telemetry data this is collected may be dynamically adjusted based on the confidence in estimates for the health of the data processing systems. The collection rate and/or number of monitored quantities may be increased as the confidence in the estimated health of the data processing systems decreases.