Agentic NetOps, or the Self-Healing Network

For a long time, the network was considered an invisible background system. It only came to the forefront when something went wrong: an application was unavailable, administrative processes were disrupted, or error reports came in en masse.

Today, that’s no longer enough. On a university campus, at a research institute, in a hospital setting, or within a large corporate infrastructure, the network is the foundation of day-to-day operations. When traffic spikes suddenly, the load increases, and error tickets start pouring in, the IT team often finds itself investigating the same problems over and over again. NetOps—and its AI-powered form, agentic NetOps—provides a solution to this challenge.

Why isn't traditional network operation enough?

Modern networks are becoming increasingly complex. An organization may simultaneously have:

• devices from different manufacturers,
• older and newer technologies,
• on-premises data center systems,
• cloud and hybrid services,
• firewalls, routing solutions,
• specialized educational, research, or business applications.

At the same time, the capacity of operations teams is not growing at the same pace. It is difficult to find skilled network professionals, while there are more and more systems to monitor, configure, and operate securely.

Traditional solutions only partially help. Hiring new specialists isn’t always feasible. Outsourcing can relieve the internal team of certain tasks, but responsibility and decision-making authority remain with the organization. Introducing new technologies can be useful, but it can easily increase complexity further.

DevOps-style automation is a step in the right direction, but in many cases it requires coding skills, API management, and ongoing maintenance. Not every IT team has these capabilities.

What does NetOps offer?

The goal of NetOps is to ensure that the network is not viewed as a collection of disparate devices, configurations, and trouble tickets, but rather as a unified operational environment that can be managed as a whole.

It has three main advantages:

• Transparency: It makes the network’s structure, connections, and routes visible.
• Automation: It reduces repetitive, manual tasks.
• Faster troubleshooting: it provides more context regarding the cause and impact of a problem.

Most organizations today receive an overwhelming amount of information from countless systems. The question is how to turn this into a quickly interpretable overview and sound decision-making. This is where NetOps helps: it integrates information, supports operations teams, and reduces the volume of manual investigations.

What makes agentic NetOps different?

Agentic NetOps is the next level. Here, it’s not just about automation, but about AI-powered operations capable of interpreting the situation, making recommendations, and even intervening—subject to appropriate controls.

The difference, in short:

• A monitoring system alerts you when an error occurs;
• A more advanced system helps narrow down the possible causes;
• Agentic NetOps also examines why the error occurred in that specific environment, which services it affects, what risks it poses, and what steps can lead to a solution.

This is important because, in a complex network, errors can rarely be understood in isolation. An accessibility issue may be caused by a firewall rule, a routing error, a misconfiguration, a device failure, a capacity issue, or a combination of these factors.

Digital Twin: a live model from the network

One of the cornerstones of agentic NetOps is the digital twin. This is a continuously updated logical and topological representation of the network. It is not static documentation. Traditional network documentation often becomes outdated quickly because the environment is constantly changing. The digital twin, on the other hand, automatically tracks the network’s current state.

Among other things, it maps:

• network devices,
• connection points,
• routing paths,
• firewall rules,
• communication between applications,
• service access points.

Its greatest advantage lies in change management. A configuration error or a poorly prepared change can cause serious operational disruptions. With the help of a digital twin, planned changes can be simulated in advance. The system can show how a change might affect the network, which services it might impact, and what risks it entails.

Troubleshooting with multiple contexts

One of the most time-consuming tasks for operators is troubleshooting. There can be many different causes behind a user report, and identifying the exact root cause often requires an investigation that spans multiple systems and teams. AI-based troubleshooting can help with this. It not only indicates that there is a problem, but also attempts to interpret the event in its context.

Such a system is capable of answering questions such as:

• Which service is affected?
• On which network path does the error occur?
• Are any firewall rules or routing settings involved?
• which user groups are affected by the problem;
• what steps can lead to a solution.

This can significantly reduce the volume of routine investigations. Operators do not start from scratch but receive a prepared, context-based fault analysis.

Risk assessment and control

Network operations and security are now closely intertwined. A misconfiguration can not only cause service outages but also pose a security risk.

Typical problems include:

• overly permissive firewall rules,
• poorly segmented network segments,
• outdated configurations,
• inappropriate routing settings,
• changes that are difficult to track.

Agentic NetOps not only identifies technical errors in these areas but also assesses operational and business risks. It can take into account vendor recommendations, the operating system versions of the devices, and the specific characteristics of the network environment.

However, automated intervention can only operate safely under appropriate controls. In critical infrastructure, a system must not be allowed to modify network settings without supervision.

Therefore, the following are key:

• access control,
• the approval process,
• auditability,
• pre-simulation of changes,
• maintaining human oversight.

No-code automation

Network automation used to often require a developer’s mindset. It involved managing APIs, writing scripts, and maintaining workflows. The no-code approach simplifies this. The goal is for operations staff to be able to automate processes not as developers, but as network experts.

The benefits of this are:

• Repetitive processes can be automated more quickly,
• the chance of manual errors is reduced,
• there is less reliance on custom scripts,
• process maintenance is simpler,
• more time is left for complex tasks.

The Next Step in Network Operations

Network operations have entered a new era. Manual troubleshooting, fragmented tool sets, and reactive operations are becoming increasingly inadequate in environments where the network plays a business-critical role.

NetOps offers a more unified, automated, and transparent approach. Agent-based NetOps complements this with artificial intelligence: a system that not only alerts but also interprets, makes recommendations, assesses risk, and can even intervene in a controlled manner.

Network operations of the future aren’t about IT teams receiving more alerts. They’re about getting to the root cause faster through less noise, implementing changes more securely, and dedicating more time to strategic tasks.