The use of artificial intelligence in monitoring

Estimated reading time: 4 minutes

When we refer to artificial intelligence, we often refer to the great technologies that could control the world, with an obvious streak of science fiction. The reality is very different and is characterized by a technology with great potential, which is able to ensure countless advantages . Today we talk about how artificial intelligence can be implemented in monitoring.

The use of these technologies is unavoidably transversal to many sectors of the economy, but it is also usable in some aspects of everyday life. Some examples range from washing machines that, weighing the load of laundry, are able to choose the most advantageous washing program, to voice assistants that simplify our everyday life.

Very important in the corporate sector are the monitoring systems which were created precisely from these technologies which we will talk more about in a moment.

Thanks to the optimization of the computing capacity operated by artificial intelligence, it is possible to increase the efficiency of company equipment. Let’s see how.

What is artificial intelligence and how can it innovate monitoring ?

Today, artificial intelligence is declined in many ways. Perhaps the most important is processing a large amount of data then providing answers to complex questions. At the base of artificial intelligence there is the study of algorithms that deal with performing complex mathematical operations.

Artificial intelligence is a very useful tool within a company, as it is able to carry out very sophisticated and precise processing. These operations are capable of significantly improving the operations and productivity of numerous departments of the company itself.

Applied to monitoring, for example, artificial intelligence is capable of analyzing the logs coming from the network, both in terms of performance and behavior. The big step forward in the analysis and monitoring of an infrastructure consists precisely in recognizing whether certain behaviors that emerge from the logs are risky or not.

To achieve these results it is essential to have all those features that are available through artificial intelligence .

What are the advantages of using artificial intelligence for monitoring?

Artificial intelligence is able to provide companies that choose to use it countless advantages. Not only in terms of improving the performance of information systems, but also to make more efficient and improve the security of the same, preventing attacks.

This happens thanks to the analysis of the logs both from a technical and a behavioral point of view. Technical analysis highlights any ongoing problems, while behavioral analysis can prevent or immediately identify suspicious actions.

How can our monitoring system improve business efficiency?

Our monitoring system is able to improve business efficiency through numerous technical analyzes in able to be implemented not only on the entire system, but also on individual units.

The ability to analyze data in depth also allows you to improve the management of the entire IT structure and prevent overloads or attacks. Overall, the efficiency and safety of the infrastructure are increased at the same time through artificial intelligence applied to monitoring.

But there’s more: these analysis and monitoring systems are able to integrate with extreme effectiveness in complex architectures. By being able to analyze large amounts of data and being able to deduce behaviors and actions from these, efficiency in security is ensured.

Another advantage is the fact that this monitoring system does not require specific hardware. Software agents are installed on the systems to be controlled which have the sole task of sending data in the form of a log to the control system. analyses.

These systems therefore prove to be the ideal solution to keep large and small IT architectures under control, with the aim of improving efficiency and increasing overall security. In short, an application really interesting and useful of artificial intelligence in monitoring.

What are the fields of application of this technology?

We apply artificial intelligence systems to monitoring, benefiting our customers enormously. First we can collect large amounts of data, enrich it automatically and finally analyze it. The analyzes are carried out both from a technical and a behavioral point of view.

The result is a dedicated system, our SOCaaS, which makes risk mitigation extremely efficient, particularly quick intervention in the event of an anomaly and also provides regular reports.

This service is able to bring together all the features listed in the article, and to offer it as a solution for companies that want a superior security system.

Better efficiency, safety, versatility, operability, are just some of the paradigms used to define the services we make available to our customers. Our main goal is to simplify and make your company’s IT security more efficient.

Do not hesitate to contact us if you want to know more, we will be happy to answer any questions.

Useful links:

• ICT Monitoring Service
• Machine learning and cybersecurity: UEBA applications and security
• Help
• Web agency
• SIEM monitoring: best practices