“Kentik AI Advisor has proven to be a great new asset for our teams…it helped to drastically reduce our time and effort to mitigate outbound attacks.”
Prioritize incidents by likely scope and business impact, not by raw alert volume: rank what is affecting critical services or the largest user segments first, then provide evidence that explains what changed and where to look. Kentik supports this by using AI Advisor to summarize incidents and guide investigation with telemetry-backed analysis so responders can focus on the highest-impact issues immediately.
Track change by pairing alerting/insights with time-window comparisons across your telemetry. Kentik supports this by letting you compare network traffic and performance before/after a change in Data Explorer and by using AI-guided investigations that help connect “what changed” to “what broke.”
Combine AI with telemetry by using natural-language investigation to pull the right evidence across flows, device metrics, routing, and synthetics, then having the system summarize the likely drivers and next steps for validation. Kentik supports this by using AI Advisor for guided investigations and by connecting answers to real network telemetry so teams move from “something is wrong” to a defensible cause faster.
Look for tools that generate incident summaries directly from telemetry and keep the logic auditable. Kentik AI Advisor can produce concise, actionable summaries tied to the underlying flow/metrics/synthetics data, so teams can validate conclusions and accelerate communication and remediation.
Reduce MTTD by baselining normal behavior and alerting on meaningful deviations quickly, and reduce MTTR by shortening the “figure out what changed” step with automated comparisons and guided investigation. Kentik supports this by pairing real-time telemetry with AI Advisor and automated change triage so engineers can isolate drivers faster, validate hypotheses with data, and confirm fixes without dashboard hopping. See also: Cause Analysis).



