Why networks need AI agents to survive

The alert problem

Enterprise monitoring systems generate more than four thousand alerts daily, about half concerning the network. An experienced engineer can investigate about twenty alert events a day.

The math doesn't work

Clearing the alert queue by hand would require roughly one hundred IT specialists. Nearly half of alerts are closed without investigation because teams cannot keep up.

Adoption is already here

A two thousand twenty-six study by Omdia and Cisco of one thousand IT and NetOps leaders finds more than half of organizations already use agentic AI in production networks.

Why AI is necessary now

Networks change constantly and feedback arrives within minutes. AI workloads bring new traffic patterns, increase data exchange, and create more dependencies across environments.

“AI workloads are bringing new traffic patterns, increasing the data exchange, and also creating more dependencies across the environment.”

The cost of inaction

Without automation, NetOps executives anticipate more security gaps, increased outage frequency and severity, and more failed AI initiatives. Teams already spend forty-five percent of investigation time chasing false positives.

Complex incidents take weeks

While most network incidents are manageable, complex ones can become multi-day or multi-week ordeals. One in ten respondents say incidents typically take more than a week to resolve.

Problems span multiple domains

Performance problems commonly span networks, cloud, security, and applications simultaneously. A latency complaint might originate in cloud, surface as application slowdown, and trigger security alerts.

Governance must change

Close to a third of surveyed organizations make multiple changes to production networks every day. Traditional change review boards assume systems change occasionally and cannot keep pace.

Selective autonomy works

Most organizations want humans to approve agentic actions, but the overwhelming majority are comfortable letting AI make production changes without permission for specific categories like rerouting traffic or isolating endpoints.

Verification must be cheap

At Room and Board, a three-person network team supports thirty-four locations using agentic platforms. Senior network engineer Mark Rodrigue says checking an agent's work must cost less than doing the work.

“Show your work. I can't emphasize that enough. We don't really have the time and resources to spend managing management tools.”

AI earns authority gradually

NetOps teams do not hand over autonomy all at once. AI agents earn it one action at a time as their track record builds, much like a manager gives new hires more latitude.