NetBrain Technologies, Inc. said Friday it announced new platform features to enable AI agents to autonomously diagnose and remediate network issues [1].
This shift toward "Agentic NetOps" aims to reduce the time enterprises spend on manual troubleshooting. By moving from simple automation to autonomous agents, the company intends to turn a conceptual category into an operational reality for network administrators [1, 3].
The Burlington, Massachusetts-based company introduced several key updates to its platform, including Agent Skills, AI Path Doctor, and an MCP Server [1, 2]. These tools are designed to handle cross-domain integrations, allowing the AI to navigate complex network environments without constant human intervention [1].
According to the company, these capabilities are now available in platform version 12.3 [3]. The update allows AI agents to perform a series of tasks that previously required manual configuration and analysis by network engineers [3].
NetBrain said that hundreds of enterprises are already using these agents to manage their operations [1]. The deployment of these tools is intended to provide faster diagnosis and remediation of outages or performance degradation across large-scale infrastructures [1, 3].
The new features focus on the ability of the AI to not only identify a problem but to execute the necessary steps to fix it. This transition from network automation, which follows a set of predefined rules, to agentic operations allows for more dynamic responses to unforeseen network behavior [1, 2].
“NetBrain announced new platform features to enable AI agents to autonomously diagnose and remediate network issues.”
The transition from network automation to 'Agentic NetOps' represents a shift toward self-healing infrastructure. While traditional automation relies on static scripts, agentic AI can theoretically adapt to real-time network changes, potentially reducing the need for Tier 3 engineering intervention during routine outages.
