Abstract: Security, access and the way organizations communicate with their employees, contractors and customers is evolving faster than ever, and as the world is becoming more hybrid, security policies, monitoring and control must become collaborative and interoperable. The techniques described herein provide meaningful correlation and analytics of data coming from multiple sources in the network, access, security and identity, thereby improving troubleshooting, optimizations, threat forensics and analysis, as well as enabling network administrators more control over network policies.

Abstract: Security, access and the way organizations communicate with their employees, contractors and customers is evolving faster than ever, and as the world is becoming more hybrid, security policies, monitoring and control must become collaborative and interoperable. The techniques described herein provide meaningful correlation and analytics of data coming from multiple sources in the network, access, security and identity, thereby improving troubleshooting, optimizations, threat forensics and analysis, as well as enabling network administrators more control over network policies.

Abstract: Security, access and the way organizations communicate with their employees, contractors and customers is evolving faster than ever, and as the world is becoming more hybrid, security policies, monitoring and control must become collaborative and interoperable. The techniques described herein provide meaningful correlation and analytics of data coming from multiple sources in the network, access, security and identity, thereby improving troubleshooting, optimizations, threat forensics and analysis, as well as enabling network administrators more control over network policies.

Abstract: A system and method for analysis and management of data distribution in a distributed database environment. A method may include analyzing information related to transactions between an application and a plurality of data storage systems to produce analysis results. Analysis results may be used to produce a set of rules for defining logical data chunks. A logical data chunk may include at least a portion a data set stored in the plurality of data storage systems. A data distribution policy may be defined based on the set of rules. Other embodiments are described and claimed.

Abstract: This disclosure describes techniques and mechanisms for defining dynamic security compliance in networks to proactively prevent security policy violations from being added and/or made, retroactively and continuously identify security policy violations based on data from the changing threat landscape, and provide auto-remediation of non-compliant security policies. The techniques enable automated security policies and provide improved network security against a dynamic threat landscape.

Abstract: A system and method for analysis and management of data distribution in a distributed database environment. A method may include analyzing information related to transactions between an application and a plurality of data storage systems to produce analysis results. Analysis results may be used to produce a set of rules for defining logical data chunks. A logical data chunk may include at least a portion a data set stored in the plurality of data storage systems. A data distribution policy may be defined based on the set of rules. Other embodiments are described and claimed.

Abstract: Techniques for scaling additional capacity for secure access solutions and other workloads of enterprise edge networks in and out of a cloud-computing network based on demand. The techniques may include determining that a capacity associated with a secure access node of an enterprise edge network meets or exceeds a threshold capacity. Based at least in part on the capacity meeting or exceeding the threshold capacity, the techniques may include causing a facsimile of the secure access node to be spun up on a cloud-computing network that is remote from the enterprise edge network. In this way, new connection requests received from client devices can be redirected to the facsimile of the secure access node. Additionally, or alternatively, one or more existing connections between client devices and the secure access node may be migrated to the facsimile of the secure access node in the cloud.

Abstract: System and method for interacting with a plurality of data sources are provided. A request may be parsed and an identification parameter identifying a data set may be determined. A field included in the request may be designated as a distribution key. At least one data source may be selected based on a value associated with the distribution key. At least a portion of the request may be sent to a selected data source. Other embodiments are described and claimed.

Abstract: Techniques for scaling additional capacity for secure access solutions and other workloads of enterprise edge networks in and out of a cloud-computing network based on demand. The techniques may include determining that a capacity associated with a secure access node of an enterprise edge network meets or exceeds a threshold capacity. Based at least in part on the capacity meeting or exceeding the threshold capacity, the techniques may include causing a facsimile of the secure access node to be spun up on a cloud-computing network that is remote from the enterprise edge network. In this way, new connection requests received from client devices can be redirected to the facsimile of the secure access node. Additionally, or alternatively, one or more existing connections between client devices and the secure access node may be migrated to the facsimile of the secure access node in the cloud.

Abstract: Security, access and the way organizations communicate with their employees, contractors and customers is evolving faster than ever, and as the world is becoming more hybrid, security policies, monitoring and control must become collaborative and interoperable. The techniques described herein provide meaningful correlation and analytics of data coming from multiple sources in the network, access, security and identity, thereby improving troubleshooting, optimizations, threat forensics and analysis, as well as enabling network administrators more control over network policies.

Abstract: This disclosure describes techniques and mechanisms for defining dynamic security compliance in networks to proactively prevent security policy violations from being added and/or made, retroactively and continuously identify security policy violations based on data from the changing threat landscape, and provide auto-remediation of non-compliant security policies. The techniques enable automated security policies and provide improved network security against a dynamic threat landscape.

Abstract: A system and method for analysis and management of data distribution in a distributed database environment. A method may include analyzing information related to transactions between an application and a plurality of data storage systems to produce analysis results. Analysis results may be used to produce a set of rules for defining logical data chunks. A logical data chunk may include at least a portion a data set stored in the plurality of data storage systems. A data distribution policy may be defined based on the set of rules. Other embodiments are described and claimed.

Abstract: A system and method for analysis and management of data distribution in a distributed database environment. A method may include analyzing information related to transactions between an application and a plurality of data storage systems to produce analysis results. Analysis results may be used to produce a set of rules for defining logical data chunks. A logical data chunk may include at least a portion a data set stored in the plurality of data storage systems. A data distribution policy may be defined based on the set of rules. Other embodiments are described and claimed.

Abstract: Techniques for scaling additional capacity for secure access solutions and other workloads of enterprise edge networks in and out of a cloud-computing network based on demand. The techniques may include determining that a capacity associated with a secure access node of an enterprise edge network meets or exceeds a threshold capacity. Based at least in part on the capacity meeting or exceeding the threshold capacity, the techniques may include causing a facsimile of the secure access node to be spun up on a cloud-computing network that is remote from the enterprise edge network. In this way, new connection requests received from client devices can be redirected to the facsimile of the secure access node. Additionally, or alternatively, one or more existing connections between client devices and the secure access node may be migrated to the facsimile of the secure access node in the cloud.

Abstract: A system and method for analysis and management of data distribution in a distributed database environment. A method may include analyzing information related to transactions between an application and a plurality of data storage systems to produce analysis results. Analysis results may be used to produce a set of rules for defining logical data chunks. A logical data chunk may include at least a portion a data set stored in the plurality of data storage systems. A data distribution policy may be defined based on the set of rules. Other embodiments are described and claimed.

Abstract: A system and method for analysis and management of data distribution in a distributed database environment. A method may include analyzing information related to transactions between an application and a plurality of data storage systems to produce analysis results. Analysis results may be used to produce a set of rules for defining logical data chunks. A logical data chunk may include at least a portion a data set stored in the plurality of data storage systems. A data distribution policy may be defined based on the set of rules. Other embodiments are described and claimed.

Abstract: System and method for interacting with a plurality of data sources are provided. A request may be parsed and an identification parameter identifying a data set may be determined. A field included in the request may be designated as a distribution key. At least one data source may be selected based on a value associated with the distribution key. At least a portion of the request may be sent to a selected data source. Other embodiments are described and claimed.

Abstract: A network management entity is configured to communicate with one or more network security devices. Each network security device is configured to store in a respective event queue an event for each attempt to access a network accessible destination through the security device. Each event indicates the destination of the attempted access. The management entity periodically collects from the event queues the stored events so that less that all of the events stored in the event queues over a given time period are collected. The management entity determines, based on the collected events, top destinations as the destinations that occur most frequently in the collected events. The management entity determines, based on the collected events, bottom destinations as the destinations that occur least frequently in the collected events. The management entity generates for display indications of the top destinations and generates for display indications of the bottom destinations.

Abstract: A system and method for processing a database query may include determining a set of tables referenced in a query; representing the set of tables by vertices of a graph; and, if the graph is incomplete, then determining the query is associated with a shard conflict. A system and method may determine a query is not associated with a shard conflict if, and only if, the graph is complete.

Abstract: A system and method for analysis and management of data distribution in a distributed database environment. A method may include analyzing information related to transactions between an application and a plurality of data storage systems to produce analysis results. Analysis results may be used to produce a set of rules for defining logical data chunks. A logical data chunk may include at least a portion a data set stored in the plurality of data storage systems. A data distribution policy may be defined based on the set of rules. Other embodiments are described and claimed.