NetBrain R12.3 Brings Agentic AI to Network Operations

NetBrain Technologies has released version 12.3 of its network operations platform, adding agentic AI capabilities designed to autonomously investigate network issues, recommend fixes, and guide engineers through remediation across hybrid and cloud environments.

NetBrain Technologies touts manual workload reduction and time savings for engineers

The Burlington, Mass.-based vendor positions the release as a step toward reducing manual NetOps workloads and accelerating mean time to resolution as enterprise networks grow more complex. 

NetBrain R12.3 applies agentic AI to independently diagnose problems, surface root cause, and generate implementation workflows, while keeping engineers in control of execution.

According to the company, the new release is aimed at organizations managing increasingly distributed infrastructure that spans on-premises, cloud, and containerized environments.

Agentic AI acts as a “digital engineer”

NetBrain CTO Song Pang said the platform’s new AI functionality mirrors how a human network engineer would approach troubleshooting.

“With this release, we’ve really made AI into a full-fledged digital engineer,” Pang said. “It can diagnose issues independently and suggest how to fix them in much the same way a human engineer would. Humans remain in the loop, with the AI making it faster, simpler and more consistent.”

The update builds on NetBrain’s existing automation and digital twin technologies. The platform can now automatically detect network issues, perform root-cause analysis, recommend remediation steps, and prepare change workflows before any action is taken.

NetBrain R12.3 also expands support for major cloud providers and Kubernetes environments, reflecting the growing operational challenges tied to containerized and hybrid networks.

New AI features expand automation and visibility

The release introduces several new and enhanced AI-driven capabilities, including:

• AI Runbook Companion allows engineers to analyze and refine runbook results earlier in the troubleshooting process. 
• AI Deep Diagnosis uses an iterative reasoning framework to analyze network issues and visually map root causes with step-by-step transparency.
• AI Ticket Analysis reviews historical tickets to classify and identify recurring network problems 
• Quick Assessment automates network validation checks across multiple devices in minutes. The platform also adds pre-approved auto-remediation options for well-defined change management processes.

NetBrain said these capabilities are designed to make network changes safer while increasing consistency across environments.

Why R12.3 matters for MSPs and the IT channel

For MSPs and solution providers, NetBrain R12.3 addresses a growing operational pressure point: supporting increasingly complex hybrid and cloud networks without a proportional increase in skilled NetOps staff. 

Agentic AI capabilities that automate investigation, diagnosis, and remediation planning could allow partners to resolve incidents faster while standardizing troubleshooting across customers and environments. 

That has direct implications for service margins, SLA performance, and the ability to scale managed network offerings.

By keeping engineers “in the loop” as it automates analysis and preparation, NetBrain is positioning R12.3 as a way for partners to reduce human error while maintaining accountability—an important factor for MSPs delivering mission-critical services.

Expanded support for major cloud platforms and Kubernetes further strengthens NetBrain’s relevance for partners serving customers with mixed on-prem, cloud, and containerized infrastructures. 

Recent growth, investment, and leadership changes position NetBrain for a strong 2026

The R12.3 release follows a year of expansion for NetBrain. In 2025, Blackstone Growth completed a majority investment in NetBrain, valuing the company at $750 million. The firm said the investment is intended to support global expansion and operational scale.

In January, NetBrain also named Bernadette Nixon as CEO, succeeding founder Lingping Gao. Nixon previously led AI search vendor Algolia through a period of rapid growth and international expansion.

As AI and automation move from optional to essential in network operations, NetBrain is betting that agentic AI will become a core requirement for modern NetOps teams.