The complexity of IT environments grows every year. Distributed applications, microservices, cloud infrastructure, containers, and the rapid development of generative AI technologies such as language models (LLMs) or vector databases — all of this makes infrastructure management and monitoring an increasingly demanding challenge. How can artificial intelligence help in this chaos? Is it still a promise of the future, or already a real tool supporting IT teams?

The answer is simple: AI in IT management is already a reality, with examples of such solutions visible in Zabbix, Grafana, or Wazuh.

AI in IT monitoring — real applications, not just marketing slogans

Just a few years ago, monitoring tools were mainly associated with dashboards, alerts, and the classic approach: "You get a notification — you look for the root cause." Today, this approach is evolving thanks to AI integration, which automatically analyzes data, suggests solutions, and accelerates incident response.

Zabbix integrated with AI

Zabbix is one of the most popular tools for monitoring IT environments. However, in large infrastructures, the number of alerts can be overwhelming, and root cause analysis — time-consuming. That’s where AI integration with Zabbix comes into play, for example, with Google Gemini or open-source models from Hugging Face.

How does it work in practice?

• When an alert appears, the administrator can launch the "AI Assistant" with a single click.
• AI analyzes the data, identifies possible causes of the issue, and suggests specific corrective actions.
• Additionally, intelligent widgets on the dashboard can forecast potential risks based on trend analysis.

Importantly, such a solution can work locally, without the need for public cloud services — ideal for organizations with increased data security requirements.

Grafana — next-gen monitoring with built-in AI

Another example of practical AI use in IT is Grafana, known until recently mainly for its impressive dashboards. Today, it’s a comprehensive monitoring platform, with Grafana Cloud increasingly focusing on artificial intelligence and machine learning.

What can AI in Grafana do?

• Cost optimization with adaptive metrics: AI analyzes collected metrics and identifies unnecessary or rarely used ones. The result? Monitoring cost reduction of up to 35%.
• Faster problem diagnosis with sift: Sift is an intelligent assistant that uses AI to detect error patterns, container failures, or "noisy neighbors" in shared environments.
• Monitoring AI and LLM environments: Grafana enables monitoring of applications using generative AI, such as chatbots or recommendation systems:

1. Tracking prompts and model responses,
2. Monitoring token consumption and LLM costs,
3. Performance analysis of vector databases,
4. Visualization of AI model parameters and metadata.

• Automation of routine IT tasks: Grafana uses AI to generate dashboard descriptions, analyze flame graphs, and monitor AI infrastructure with the help of eBPF.

Wazuh — IT security enhanced by AI and LLMs

Wazuh, an open-source security monitoring platform, is another example of how AI is revolutionizing IT management, particularly in the cybersecurity context. Integrating Wazuh with tools like YARA and language models (LLMs), such as ChatGPT, enriches alerts with detailed context, accelerating threat response.

How does Wazuh integrate with AI?

Wazuh uses the File Integrity Monitoring (FIM) module to detect file changes on monitored endpoints (e.g., Ubuntu 22.04 or Windows 11). When a modification or new file is detected, the Active Response module initiates a YARA scan, identifying malicious artifacts based on known signatures. If the file is classified as malicious, Wazuh automatically deletes it and uses an LLM (e.g., ChatGPT) to enrich the alert with additional information, such as:

• Potential impact of the malicious file (e.g., origin, attack vectors),
• Suggested remediation actions,
• Contextual threat analysis.

Example application:

• Wazuh detects a new file in /home (Linux) or C:\Users\*\Downloads (Windows).
• YARA scans the file and identifies it as malicious (e.g., Mirai malware).
• Wazuh removes the file and generates an alert, which the LLM enriches with a detailed description, e.g.:
  “Mirai is a botnet targeting IoT devices. It is recommended to isolate the infected host and scan the network for unauthorized traffic.”

Advantages of Wazuh AI integration:

• Automated threat response, reducing the time needed for manual analysis,
• Alerts enriched with context, simplifying decision-making for security teams,
• Local deployment capability, ensuring compliance with data security requirements,
• Support for both Linux and Windows environments, making Wazuh a flexible solution.

Importantly, Wazuh is available as an open-source solution, allowing customization to specific organizational needs without dependency on cloud providers.

AI in IT — Why is it worth it?

Regardless of whether you use Zabbix, Grafana, Wazuh, or other monitoring tools, artificial intelligence brings tangible benefits:

• Reduces mean time to detect and resolve issues (MTTR),
• Cuts monitoring and data storage costs,
• Assists in managing AI-driven environments,
• Automates routine tasks for IT teams,
• Learns from historical incidents, improving analysis quality,
• Enables threat prediction before issues arise,
• Strengthens security through rapid detection and neutralization of threats.

What’s important, many of these solutions are available as open-source or with local deployment options, avoiding dependence on closed ecosystems.

Future? No — It’s already the present

Artificial intelligence in IT management is no longer a futuristic slogan from tech conferences. These are practical tools that genuinely support IT teams working with increasingly complex environments.

Want to learn more? Contact us — we’ll help you implement next-generation monitoring and security solutions powered by artificial intelligence.