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Using ChatGPT in Energy Logserver: rule creation

Using ChatGPT in Energy Logserver (1)

ChatGPT brings huge changes in the way we are used to applying content search engines. Over time new applications appear for this mathematical model. It can not only build complete sentences, but creates them with great attention in the substantive context. This technology shows the direction of development of modern applications, where the operator’s work will be supported by the machine.

Energy Logserver is an area where ChatGPT can support us. In places that require the operator to apply specialist knowledge, we will ask ChatGPT for help. Instead of learning the syntax of the alert engine, we will ask the machine to write the rule for us.

Supporting rule creation

Creating rules is a key element in managing security events. However, depending on the number and complexity of the data in the system, it can be time-consuming and difficult. ChatGPT can help you generate rules thanks to its ability to detect patterns and react to different types of events. This can help with identification of potential threats and creating more effective rules, which in turn will allow faster and more accurate respond to threats.

If we ask for a rule for brute force attack, we get:

Can ChatGPT write a rule for ramsonware detection? Let’s check:

The result has the correct syntax and a ready proposal to run. The operator can focus on controlling the rule and providing possible changes.

The ability to easily adapt to new technologies and use them to maximize the efficiency of work is one of the most important features of Energy Logserver. ChatGPT is a perfect example here.

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