The traditional use of the pull model, where the client requests data from the network does not scale when what you want is near real-time data. Moreover, in some use cases, there is the need to be notified only when some data changes, like interfaces status, protocol neighbors change etc. Model-Driven Telemetry is a new approach for network monitoring in which data is streamed from network devices continuously using a push model and provides near real-time access to operational statistics. Applications can subscribe to specific data items they need, by using standard-based YANG data models over NETCONF-YANG. Cisco IOS XE streaming telemetry allows to push data off of the device to an external collector at a much higher frequency, more efficiently, as well as data on-change streaming. Reference: https://developer.cisco.com/docs/ios-xe/#!streaming-telemetry-quick-start-guide Model-Driven Telemetry is a new approach for network monitoring in which data is streamed from network devices continuously using a push model and provides near real-time access to operational statistics.
Applications can subscribe to specific data items they need, by using standard-based YANG data models over NETCONF-YANG. Cisco IOS XE streaming telemetry allows to push data off of the device to an external collector at a much higher frequency, more efficiently, as well as data on-change streaming.
The traditional use of the pull model, where the client requests data from the network does not scale when what you want is near real-time data. Moreover, in some use cases, there is the need to be notified only when some data changes, like interfaces status, protocol neighbors change etc. Model-Driven Telemetry is a new approach for network monitoring in which data is streamed from network devices continuously using a push model and provides near real-time access to operational statistics. Applications can subscribe to specific data items they need, by using standard-based YANG data models over NETCONF-YANG. Cisco IOS XE streaming telemetry allows to push data off of the device to an external collector at a much higher frequency, more efficiently, as well as data on-change streaming. Reference: https://developer.cisco.com/docs/ios-xe/#!streaming-telemetry-quick-start-guide

+ Cisco Cloudlock continuously monitors cloud environments with a cloud Data Loss Prevention (DLP) engine to identify sensitive information stored in cloud environments in violation of policy. + Cloudlock is API-based. + Incidents are a key resource in the Cisco Cloudlock application. They are triggered by the Cloudlock policy engine when a policy detection criteria result in a match in an object (document, field, folder, post, or file). Reference: https://docs.umbrella.com/cloudlock-documentation/docs/endpoints Note: + Security information and event management (SIEM) platforms collect log and event data from security systems, networks and computers, and turn it into actionable security insights. + An incident is a record of the triggering of an alerting policy. Cloud Monitoring opens an incident when a condition of an alerting policy has been met.
to identify sensitive information stored in cloud environments in violation of policy.
+ Cloudlock is API-based.
+ Incidents are a key resource in the Cisco Cloudlock application. They are triggered by the Cloudlock policy engine when a policy detection criteria result in a match in an object (document, field, folder, post, or file).
Reference:
Note:
+ Security information and event management (SIEM) platforms collect log and event data from security systems, networks and computers, and turn it into actionable security insights.
+ An incident is a record of the triggering of an alerting policy. Cloud Monitoring opens an incident when a
+ Cisco Cloudlock continuously monitors cloud environments with a cloud Data Loss Prevention (DLP) engine to identify sensitive information stored in cloud environments in violation of policy. + Cloudlock is API-based. + Incidents are a key resource in the Cisco Cloudlock application. They are triggered by the Cloudlock policy engine when a policy detection criteria result in a match in an object (document, field, folder, post, or file). Reference: https://docs.umbrella.com/cloudlock-documentation/docs/endpoints Note: + Security information and event management (SIEM) platforms collect log and event data from security systems, networks and computers, and turn it into actionable security insights. + An incident is a record of the triggering of an alerting policy. Cloud Monitoring opens an incident when a condition of an alerting policy has been met.