Enterprise network management is becoming more complex as hybrid and cloud infrastructures expand. To address this challenge, NetBrain has released version 12.3 of its platform, introducing autonomous AI agents that can independently analyze failures, recommend solutions, and assist engineers during incident resolution.

Continued AI investment drives platform evolution

Over the past year, NetBrain has accelerated development of artificial intelligence features while also completing its acquisition by Blackstone. This momentum now carries into 2026 with the company’s latest release, which significantly expands automated diagnostics.

Version 12.3 equips the platform with intelligent agents capable of examining network behavior, tracing faults to their source, and proposing corrective actions. These tools are designed to reduce investigation time and limit reliance on manual troubleshooting.

New leadership shapes “agentic” network operations

The update is the first major product launch under CEO Bernadette Nixon, who took the role in January after leading search technology firm Algolia.

Nixon describes the company’s new direction as “agentic NetOps,” a model in which AI systems actively collaborate with engineers rather than functioning only as passive assistants. In this approach, software agents participate directly in operational decision-making alongside human experts.

Deep Diagnosis combines reasoning and action

One of the core innovations in NetBrain 12.3 is a feature known as AI Deep Diagnosis. This system applies a ReAct-based framework that alternates between analytical reasoning and automated execution.

The agent repeatedly queries NetBrain’s automation library while evaluating live network data and its internal digital twin. As it progresses, the system visualizes its decision process on an interactive topology map, allowing engineers to follow each step of the investigation.

If initial diagnostics fail to reveal the issue, the agent automatically shifts strategies and tests alternative hypotheses. Internal evaluations show that the tool successfully resolved the majority of real-world incidents presented during trials, significantly exceeding early expectations.

Expanded support for cloud environments

In addition to advanced diagnostics, NetBrain 12.3 broadens automation coverage across major cloud platforms, including Amazon Web Services, Microsoft Azure, and Google Cloud Platform.

These enhancements help teams monitor application health, security posture, and infrastructure performance in multi-cloud environments. By unifying on-premises and cloud automation, NetBrain aims to simplify operations for organizations managing distributed networks.

Flexible tools for conservative adopters

Recognizing that not all customers are ready for fully autonomous diagnostics, NetBrain has also strengthened its Quick Assessment framework. These tools automate validation and troubleshooting checks across multiple devices and can be integrated into existing operational runbooks.

For teams seeking incremental adoption, Quick Assessments provide structured automation without relying on advanced AI reasoning. This makes them suitable for organizations that prefer a gradual transition to agent-driven workflows.

Supporting features and automated remediation

The 12.3 release introduces several complementary tools to enhance operational efficiency:

• AI Runbook Companion – reviews troubleshooting results in real time
• AI Ticket Analysis – categorizes and analyzes historical support data
• Pre-approved remediation workflows – enable automated fixes within defined change-management policies

Together, these features help reduce response times and standardize incident handling across IT teams.

Toward self-directed network operations

With its latest update, NetBrain is positioning its platform as a foundation for semi-autonomous network management. By combining AI reasoning, visualization, and automation, the company aims to shift routine troubleshooting away from manual processes and toward intelligent systems that operate continuously in the background.

As network environments grow in scale and complexity, NetBrain’s agent-based approach reflects a broader industry move toward self-managing infrastructure.