Operations | Monitoring | ITSM | DevOps | Cloud

Knowing something is broken is easy. Figuring out why is hard. Introducing three new, native AI diagnostic capabilities in the Kentik Network Intelligence Platform to accelerate root cause analysis and keep your network running better.

AI has quickly become part of the language of network observability. Many vendors across the observability landscape can describe, summarize, correlate, or explain some data or situation, leveraging basic LLM capabilities. At a distance, many of these offerings sound similar. They promise faster insight, efficient operations, and a more intelligent path through rising complexity. But the industry has reached a point where surface-level similarity is creating noise, not value.

Many BGP route leaks reported by automated detection systems are actually brief, low-impact artifacts of normal BGP convergence. Doug Madory examines examples from Cloudflare Radar, Routeviews, and Jared Mauch’s long-running leak detector to show how these “ephemeral leaks” arise, why they usually don’t disrupt traffic, and why they still matter for routing security.

Over the past few months, we’ve been making the Kentik platform easier to use and more actionable, with AI increasingly at the center of how teams interact with it. AI Advisor sits near the middle of a lot of that progress, but this is not only an AI story.

As cyberattacks evolve into “machine-speed” disruption campaigns that span cloud, identity, and network planes, traditional monitoring is no longer enough to protect modern enterprise infrastructure. Shifting to a network intelligence model, powered by real-time telemetry and AI-driven reasoning, enables security teams to detect weak signals and automate defenses before an incident becomes systemic.