Abstract: According to one or more embodiments of the disclosure, an asset inventory service executed by one or more devices receives telemetry data collected passively by a sensor application regarding a node in a network. The asset inventory service requests, after receiving the telemetry data, that the sensor application perform active discovery of nodes in the network. The asset inventory service receives active discovery data collected by the sensor application via active discovery of nodes in the network. The asset inventory service generates, based on the telemetry data and the active discovery data, an identity profile for the node.

Abstract: According to one or more embodiments of the disclosure, a device obtains one or more System Configuration Description Language files regarding a power utility automation network. The device also obtains traffic data regarding traffic in the power utility automation network. The device trains, using the one or more System Configuration Description Language files and the traffic data, a behavioral model for the power utility automation network that models traffic in the power utility automation network. The device initiates use of the behavioral model in the power utility automation network to identify anomalous traffic behavior in the power utility automation network.

Abstract: According to one or more embodiments of the disclosure, an asset inventory service executed by one or more devices receives telemetry data collected passively by a sensor application regarding a node in a network. The asset inventory service requests, after receiving the telemetry data, that the sensor application perform active discovery of nodes in the network. The asset inventory service receives active discovery data collected by the sensor application via active discovery of nodes in the network. The asset inventory service generates, based on the telemetry data and the active discovery data, an identity profile for the node.

Abstract: According to one or more embodiments of the disclosure, a device obtains one or more System Configuration Description Language files regarding a power utility automation network. The device also obtains traffic data regarding traffic in the power utility automation network. The device trains, using the one or more System Configuration Description Language files and the traffic data, a behavioral model for the power utility automation network that models traffic in the power utility automation network. The device initiates use of the behavioral model in the power utility automation network to identify anomalous traffic behavior in the power utility automation network.

Abstract: According to one or more embodiments of the disclosure, a networking device receives a policy for an endpoint in a network. The policy specifies one or more component tags and one or more activity tags that were assigned to the endpoint based on deep packet inspection of traffic associated with the endpoint. The networking device identifies a set of tags for a particular traffic flow in the network associated with the endpoint. The set of tags comprises one or more component tags or activity tags associated with the particular traffic flow. The networking device makes a determination that the particular traffic flow violates the policy based on the set of tags comprising a tag that is not in the policy. The networking device initiates, based on the determination that the particular traffic flow violates the policy, a corrective measure with respect to the particular traffic flow.

Abstract: According to one or more embodiments of the disclosure, a service obtains one or more component tags and one or more activity tags that were assigned to an endpoint device in a network based on deep packet inspection of traffic associated with the endpoint device. The service determines an intent of the endpoint device, using the one or more component tags and the one or more activity tags that were assigned to the endpoint device. The service translates the intent of the endpoint device into a network segmentation policy. The service configures a network overlay in the network that implements the network segmentation policy.

Abstract: According to one or more embodiments of the disclosure, a device in a network identifies a packet sent via the network towards an endpoint as being a control packet for the endpoint. The device extracts one or more control parameter values from the control packet. The device compares the one or more control parameter values to a policy associated with the endpoint. The device initiates a corrective measure, based on a determination that the one or more control parameter values violate the policy associated with the endpoint.