• NetBrain 12.3 introduces agentic AI agents that can autonomously diagnose network issues.
  • The release can suggest fixes and support IT teams during remediation workflows.
  • The change could reduce manual troubleshooting time but raises questions about oversight and accuracy.

What NetBrain 12.3 adds

The NetBrain 12.3 release brings agentic AI capabilities designed to analyze network problems with less human intervention. According to the announcement, these AI agents can autonomously diagnose faults, propose corrective actions and assist IT teams as they remediate incidents.

How the AI agents work (at a high level)

The company describes the new functionality as “agentic,” meaning the software is intended to take multi-step actions rather than only offering static recommendations. In practice that means the agents will run diagnostics, correlate data from devices and topology maps, and surface likely root causes along with suggested fixes. Where available, the agents can also support remediation steps or hand off a recommended playbook to operators.

Why this matters to IT teams

For busy network operations centers, faster, clearer diagnosis can cut mean time to repair (MTTR) and free engineers from repetitive troubleshooting. The more routine the issue, the more likely an AI agent can identify the cause and recommend proven fixes quickly — a clear efficiency gain. Teams adopting NetBrain’s agents may gain consistent diagnostics across complex, multi-vendor environments.

Benefits and potential limits

  • Benefits: automated triage, faster suggestions for remediation, and the ability to embed recommendations into existing workflows and playbooks.
  • Limits and risks: AI-driven suggestions are only as good as the data and logic behind them. Overreliance on autonomous agents without human verification could introduce risk if a recommendation is inappropriate for a specific environment. Organizations should plan for validation, approvals and rollback procedures when enabling automated actions.

How teams should approach adoption

IT leaders should treat the agents as an assistant rather than an infallible replacement. Best practices include trialing the capability in a controlled environment, monitoring agent decisions, and integrating human checkpoints for any automated remediation. Clear runbooks and a staged deployment can help capture benefits while limiting exposure.

What to watch next

Adoption patterns and real-world results will determine whether agentic AI becomes a standard part of network operations. Key signals to watch: how accurately agents identify root causes, how often suggested fixes are applied unchanged, and how tightly the agents integrate with existing ticketing and orchestration systems.

NetBrain’s 12.3 release signals a continued push to bring automation deeper into troubleshooting. The technology could speed incident response — but responsible deployment and oversight will determine whether it reduces outages or simply changes how problems are found and fixed.

Image Referance: https://www.networkworld.com/article/4130853/netbrains-new-ai-agents-automate-network-diagnosis.html