Abstract: A device may include one or more processors to receive network topology information of a network and device capability information of devices in the network; detect a threat to the network; determine threat information associated with the threat; select a security policy and an enforcement device of the network to enforce the security policy based on the network topology information, the device capability information, and the threat information; and perform an action associated with the threat based on the security policy and the enforcement device.

Abstract: A device may include one or more input components and one or more processors to: receive network entity data for a network entities operating on a network, the network entity data indicating network entity attributes associated with the network entities. The device may generate a map of the network entities based on the network entity data, the map of the network entities defining, for each network entity included in the map of the plurality of network entities, a relationship between the network entity and at least one other network entity included in the plurality of network entities. In addition, the device may identify a network entity relationship rule based on the map of the network entities and perform an action based on the network entity relationship rule.

Abstract: Techniques are described for optimizing the placement of automatically generated rules within security policies. An administrator may, for example, interact with the graphical representation of rules rendered by the threat control module and, responsive to the interaction, the system may determine an optimal placement for the created rule in the list of rules for the identified security device based on either the existence of anomalies or threat IP data and/or advanced security parameters. In this way, the system allows administrators to configure rules with the most optimal sequence to detect threats.

Abstract: Techniques are described for optimizing the placement of automatically generated rules within security policies. An administrator may, for example, interact with the graphical representation of rules rendered by the threat control module and, responsive to the interaction, the system may determine an optimal placement for the created rule in the list of rules for the identified security device based on either the existence of anomalies or threat IP data and/or advanced security parameters. In this way, the system allows administrators to configure rules with the most optimal sequence to detect threats.

Abstract: Techniques are described for optimizing the placement of automatically generated rules within security policies. An administrator may, for example, interact with the graphical representation of rules rendered by the threat control module and, responsive to the interaction, the system may determine an optimal placement for the created rule in the list of rules for the identified security device based on either the existence of anomalies or threat IP data and/or advanced security parameters. In this way, the system allows administrators to configure rules with the most optimal sequence to detect threats.

Abstract: Techniques are described for optimizing the placement of automatically generated rules within security policies. An administrator may, for example, interact with the graphical representation of rules rendered by the threat control module and, responsive to the interaction, the system may determine an optimal placement for the created rule in the list of rules for the identified security device based on either the existence of anomalies or threat IP data and/or advanced security parameters. In this way, the system allows administrators to configure rules with the most optimal sequence to detect threats.