Operations | Monitoring | ITSM | DevOps | Cloud

That's Not a Job for an LLM: The Right Way to Apply AI to Network Operations

LLMs have sucked all the oxygen out of the AI conversation — but AI is much more than just LLMs, and network engineers have been using AI techniques (machine learning, statistics, fuzzy logic, expert systems, neural networks) for decades. So what should LLMs be doing in network operations, what shouldn't they be doing, and how do agentic AI architectures fit in?

Setting the Bar for Agentic NetOps

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.

Ephemeral Leaks and Automated BGP Route Leak Detection

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.

The World's Best Infrastructure Teams Trust Kentik

Why do network and infrastructure teams at leading enterprises including Canva, Dropbox, Google ConocoPhillips, and ServiceNow choose Kentik? In their own words, customers describe epic cost savings, dramatic return on investment, and blockbuster efficiency improvements that only Kentik can deliver. Learn why Kentik is the must-see network intelligence solution any enterprise that depends on reliable connectivity.

Why the New Normal in Cyberattacks Demands Network Intelligence

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.

How Imperva Gets Traffic Answers in Seconds with Kentik

Imperva Network Architect, Wallace Lee, shares how Kentik helps teams drill deeper than traditional reporting tools to improve network and customer experience. Wallace shares how, during a live architecture review, Imperva’s Kentik power users answered a critical “are we safe?” traffic question in seconds. Kentik enables engineers to instantly understand prefix-level bandwidth and shows exactly which ASN and ISP traffic came from. Wallace also highlights how Kentik makes Anycast traffic visibility an “easy win,” helping teams move from questions to confident decision-making fast.

How Race Communications Automates DDoS Mitigation with Kentik

Sorin Esanu, Director of Network Engineering at Race Communications, explains why deep, always-on network intelligence is essential when you have massive volumes of traffic moving in and out from many sources. After outgrowing an on-prem tool that required ongoing maintenance and didn’t deliver the analytics they needed, Race chose Kentik for richer visibility, daily traffic optimization, and improved security.