Agentic AI is not just hype—it’s a force multiplier that enables infrastructure and operations teams to do more, with less effort, in less time. Importantly, it helps IT teams compress time to resolution and even proactively detect and respond to issues, before they escalate.
Join Avi Freedman, co-founder and CEO of Kentik, and Gab Menachem, vice president, product, ITOM at ServiceNow to learn how agentic AI is transforming IT operations from reactive defense to proactive optimization. Live demonstrations by Danica Shei, product director from ServiceNow, and Steve Meuse, solutions architect for Kentik, show how agentic AI is transforming today’s networks.
Agentic AI workflows in practice: ServiceNow’s Now Assist and Kentik’s AI Advisor collaborate (agent‑to‑agent) to identify, triage, recommend actions, and validate outcomes—reducing tool‑switching and accelerating response.
From alerts to outcomes: Beyond correlation and noise reduction, the integration targets the full find → debug → fix loop, surfacing recommended actions (“big red button” style) under human control.
Live Demo: Front-line support sees abnormal traffic on a critical service. Now Assist flags likely DDoS with evidence and past postmortems. Network engineers confirm in Kentik and mitigate the attack (using scrubbing and BGP FlowSpec), cutting MTTR and “mean time to innocence.”
Noise reduction & speed: ServiceNow AIOps suppresses the majority of low‑value alerts, while Kentik enables sub‑minute detection for availability‑impacting attacks when traffic/performance data is present.
Adoption lessons: ROI improves when GenAI is embedded in existing workflows and processes—not as a standalone tool. Upcoming releases further automate first responses in‑line.
Who uses what: First responders primarily work in ServiceNow for cross‑domain triage. Network experts pivot to Kentik for deep analysis and remediation.
Industries & use cases: Applicable across sectors (e.g., automotive manufacturing, utilities) where OT/IT signals and network telemetry drive proactive detection and automation.