Abstract: This disclosure describes techniques and mechanisms for enabling and enforcing user behavior aware policies within an enterprise network. The techniques include receiving flow data and learning network traffic patterns and user behavior patterns of user(s) of the network. The techniques map user(s) to behavior group(s) based on forecast(s) and historical data of network conditions and/or user behavior patterns. The techniques monitor the flow data and dynamically re-map user(s) to new behavior group(s) based on real-time user behavior and/or real-time network conditions. Mapping(s) and/or updated mapping(s) and user behavior aware policies may be sent to edge device(s) for enforcement. The edge device(s) may dynamically prioritize a link, de-prioritize a link, block traffic, drop traffic etc. for user(s). The techniques may extend application aware and user aware routing policies to account for dynamic user behavior and network conditions, provide improved application experience and network utilization.

Abstract: Techniques and mechanisms for intelligently and proactively routing application traffic within a SD-WAN. The techniques may utilize application models to determine bandwidth utilization and usage patterns of application flow(s), determine and predict the impact of potential movement or addition of the application traffic to a pathway and the SLA requirements of the pathway, and intelligently route and/or re-route the packets through the most optimal path, thereby preventing and/or minimizing policy violations. Techniques and mechanisms for intelligently analyze a target network and determine the impact of adding that application on the network based on usage patterns, flow density, bandwidth requirements and volume of traffic, thereby streamlining the process of designing a new network or adding an application to an existing network.

Abstract: This disclosure describes techniques and mechanisms for enabling and enforcing user behavior aware policies within an enterprise network. The techniques include receiving flow data and learning network traffic patterns and user behavior patterns of user(s) of the network. The techniques map user(s) to behavior group(s) based on forecast(s) and historical data of network conditions and/or user behavior patterns. The techniques monitor the flow data and dynamically re-map user(s) to new behavior group(s) based on real-time user behavior and/or real-time network conditions. Mapping(s) and/or updated mapping(s) and user behavior aware policies may be sent to edge device(s) for enforcement. The edge device(s) may dynamically prioritize a link, de-prioritize a link, block traffic, drop traffic etc. for user(s). The techniques may extend application aware and user aware routing policies to account for dynamic user behavior and network conditions, provide improved application experience and network utilization.

Abstract: This disclosure describes techniques for improving routing policy awareness in a network. The method includes detecting, by a controller, an application initiated for use at an edge node of a network. Then, generating, by an analytics engine coupled to the controller, analytical data of traffic flow at the edge node of the network wherein the traffic flow is in accordance with a routing policy for routing traffic associated with the application. Further, routing of the traffic through a path from one or more paths configured at the edge node that is in accordance with at least a Service Level Agreement (SLA) for traffic flow. Also, in response to an SLA violation during routing of the traffic, causing an action, by the controller, of routing traffic flow through another path that is in accordance with at least the SLA for traffic flow based on analytical data received of the traffic flow.

Abstract: This disclosure describes techniques and mechanisms for intelligently and proactively routing application traffic within a SD-WAN. The techniques may utilize application models to determine bandwidth utilization and usage patterns of application flow(s), determine and predict the impact of potential movement or addition of the application traffic to a pathway and the SLA requirements of the pathway, and intelligently route and/or re-route the packets through the most optimal path, thereby preventing and/or minimizing policy violations. This disclosure describes techniques and mechanisms for intelligently analyze a target network and determine the impact of adding that application on the network based on usage patterns, flow density, bandwidth requirements and volume of traffic, thereby streamlining the process of designing a new network or adding an application to an existing network.

Abstract: This disclosure describes techniques and mechanisms for enabling and enforcing user behavior aware policies within an enterprise network. The techniques include receiving flow data and learning network traffic patterns and user behavior patterns of user(s) of the network. The techniques map user(s) to behavior group(s) based on forecast(s) and historical data of network conditions and/or user behavior patterns. The techniques monitor the flow data and dynamically re-map user(s) to new behavior group(s) based on real-time user behavior and/or real-time network conditions. Mapping(s) and/or updated mapping(s) and user behavior aware policies may be sent to edge device(s) for enforcement. The edge device(s) may dynamically prioritize a link, de-prioritize a link, block traffic, drop traffic etc. for user(s). The techniques may extend application aware and user aware routing policies to account for dynamic user behavior and network conditions, provide improved application experience and network utilization.

Abstract: This disclosure describes techniques for routing application traffic on a network path based on an application-specific Service Level Agreement (SLA) threshold that may be dynamically and/or automatically determined. An edge device of an SD-WAN may send probes over the SD-WAN over multiple paths and may determine network telemetry data representing the network performance associated with the multiple paths. The edge device may then send the network telemetry data to a control plane. The control plane may also receive quality of experience (QoE) data indicating the quality of an application experience for a user. Based on the network telemetry data and the QoE data, an application-specific SLA threshold may be determined for the application. The edge device may then route traffic of the application through a path of the multiple paths based at least in part on the path satisfying the SLA threshold.

Abstract: This disclosure describes techniques for determining paths for routing traffic based on underlay attributes, where the paths may avoid and/or include certain underlay attributes. An edge device of an SD-WAN may detect underlay hops included in underlay paths by performing a path trace between the edge device and a remote device, and may send underlay path trace data to an SD-WAN underlay analytic service. The SD-WAN underlay analytic service may determine attributes associated with the underlay hops, such as the geolocation and/or an ISP associated with an underlay hop. The SD-WAN analytic service may also receive network manager policy data indicating undesirable attributes and/or preferred attributes. Accordingly, the SD-WAN may send an underlay-aware policy indicating the undesirable attributes and/or preferred attributes to the edge device, where the edge device may route entity traffic through an underlay path such that the undesirable attributes are avoided and/or the preferred attributes are included.

Abstract: This disclosure describes techniques and mechanisms for intelligently and proactively routing application traffic within a SD-WAN. The techniques may utilize application models to determine bandwidth utilization and usage patterns of application flow(s), determine and predict the impact of potential movement or addition of the application traffic to a pathway and the SLA requirements of the pathway, and intelligently route and/or re-route the packets through the most optimal path, thereby preventing and/or minimizing policy violations. This disclosure describes techniques and mechanisms for intelligently analyze a target network and determine the impact of adding that application on the network based on usage patterns, flow density, bandwidth requirements and volume of traffic, thereby streamlining the process of designing a new network or adding an application to an existing network.

Abstract: This disclosure describes techniques for improving routing policy awareness in a network. The method includes detecting, by a controller, an application initiated for use at an edge node of a network. Then, generating, by an analytics engine coupled to the controller, analytical data of traffic flow at the edge node of the network wherein the traffic flow is in accordance with a routing policy for routing traffic associated with the application. Further, routing of the traffic through a path from one or more paths configured at the edge node that is in accordance with at least a Service Level Agreement (SLA) for traffic flow. Also, in response to an SLA violation during routing of the traffic, causing an action, by the controller, of routing traffic flow through another path that is in accordance with at least the SLA for traffic flow based on analytical data received of the traffic flow.

Abstract: The present invention allows a CEC system to automatedly track the use, storage, access, and modification of sensitive information/data in the system through desktop monitoring. Further, through desktop, video, and audio monitoring of CSRs the system can automatedly determine the improper use, access, storage, and modification of sensitive information by implementing sensitive data use rules that allow a system to be specialized for the user. Finally, the system can automatedly determine and implement violation actions for the improper use, storage, access, and manipulation of sensitive information. This provides an intelligent system capable of locating all sensitive data in the system and regulating the use, access, and storage of sensitive data in the system.

Abstract: This disclosure describes techniques for improving routing policy awareness in a network. The method includes detecting, by a controller, an application initiated for use at an edge node of a network. Then, generating, by an analytics engine coupled to the controller, analytical data of traffic flow at the edge node of the network wherein the traffic flow is in accordance with a routing policy for routing traffic associated with the application. Further, routing of the traffic through a path from one or more paths configured at the edge node that is in accordance with at least a Service Level Agreement (SLA) for traffic flow. Also, in response to an SLA violation during routing of the traffic, causing an action, by the controller, of routing traffic flow through another path that is in accordance with at least the SLA for traffic flow based on analytical data received of the traffic flow.

Abstract: The present invention allows a CEC system to automatedly track the use, storage, access, and modification of sensitive information/data in the system through desktop monitoring. Further, through desktop, video, and audio monitoring of CSRs the system can automatedly determine the improper use, access, storage, and modification of sensitive information by implementing sensitive data use rules that allow a system to be specialized for the user. Finally, the system can automatedly determine and implement violation actions for the improper use, storage, access, and manipulation of sensitive information. This provides an intelligent system capable of locating all sensitive data in the system and regulating the use, access, and storage of sensitive data in the system.

Abstract: The present invention allows a CEC system to automatedly track the use, storage, access, and modification of sensitive information/data in the system through desktop monitoring. Further, through desktop, video, and audio monitoring of CSRs the system can automatedly determine the improper use, access, storage, and modification of sensitive information by implementing sensitive data use rules that allow a system to be specialized for the user. Finally, the system can automatedly determine and implement violation actions for the improper use, storage, access, and manipulation of sensitive information. This provides an intelligent system capable of locating all sensitive data in the system and regulating the use, access, and storage of sensitive data in the system.

Abstract: The present invention is a method and system for automatically producing a learning plan. Upon receiving at least one type of data input, the system analyzes the data input and produces a learning plan based on the results of the analysis of the data input. This process may be used to either generate or update a learning plan, and may be repeated to update an existing learning plan.

Abstract: A computing device determines an onboarding algorithm to use for onboarding a wireless device. The computing device determines, based on the onboarding algorithm, a first set of predefined information and a second set of dynamically generated information to use as inputs to the onboarding algorithm. The computing device generates, via the onboarding algorithm, a set of credentials based on the first set of predefined information and the second set of dynamically generated information, and uses the set of credentials to secure a connection for onboarding the wireless device.

Abstract: Disclosed herein is a method and system for establishing secure communication between a terminal device and a target system. The method comprises validating the terminal device and the target system based on a communication request received from the terminal device. Upon validation, the terminal device is signaled to generate a Quick Response (QR) code corresponding to the communication request. Subsequently, the QR code generated at the terminal device is processed using a predetermined verification interface configured in a user device for establishing the secure communication between the terminal device and the target system. In an embodiment, the present disclosure helps users in completing a transaction based on the QR code generated at the terminal device, and thereby eliminates requirement of using a credit card/debit card and the like for completing the transaction.

Abstract: The present invention allows a CEC system to automatedly track the use, storage, access, and modification of sensitive information/data in the system through desktop monitoring. Further, through desktop, video, and audio monitoring of CSRs the system can automatedly determine the improper use, access, storage, and modification of sensitive information by implementing sensitive data use rules that allow a system to be specialized for the user. Finally, the system can automatedly determine and implement violation actions for the improper use, storage, access, and manipulation of sensitive information. This provides an intelligent system capable of locating all sensitive data in the system and regulating the use, access, and storage of sensitive data in the system.

Abstract: A cooling system having a cooling chamber including a surface defining one or more openings. A surface is configured to hold at least one container. An access door provides access to the cooling chamber. A refrigeration system is configured to cool the cooling chamber by forcing cool airflow through the one or more openings in the surface. The airflow through each of the one or more openings may be similar.

Abstract: A computing device determines an onboarding algorithm to use for onboarding a wireless device. The computing device determines, based on the onboarding algorithm, a first set of predefined information and a second set of dynamically generated information to use as inputs to the onboarding algorithm. The computing device generates, via the onboarding algorithm, a set of credentials based on the first set of predefined information and the second set of dynamically generated information, and uses the set of credentials to secure a connection for onboarding the wireless device.