4. Generative AI won't replace your team

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In the area of ​​security they are as follows:

Content creation. Generating various forms of content (e.g. text, code, etc.).
Behavior prediction. Predicting the next step in a behavior pattern.
Articulation of knowledge. Presentation of information in a form more convenient for a person.

These scenarios can be applied differently within each security domain (threat detection, zero trust, etc.) and more broadly beyond that domain. Grouping generative AI applications by use case helps to consider the added value of each tool, how it is implemented, and how it uses input data.

3. Generative AI, when done right, can greatly improve the analyst experience
Many implementations of generative AI in security tools today rely on chatbot-like functionality built into a separate view in the app. As unique as this may be, it ultimately doesn’t fit naturally into the analyst’s workflow and is little more than a novelty.

The real value of generative AI is in automatically solving tasks albania mobile database were previously part of an analyst’s workflow, such as drafting incident response reports. Look for generative AI implementations that fit into the analyst’s experience and help them make decisions faster, rather than forcing them to use a different view or tab.

Generative AI will assist in the performance of tasks, not replace humans. While much of the talk about generative AI centers on the idea that it could become intelligent, this will not happen anytime soon — if at all. This is evidenced by the frequent cases of generative AI degradation, problems with coherence, copyright, and intellectual property.

In fact, despite vendor claims, generative AI is far more likely to successfully augment mid-level and above-level professionals than newbies. Experienced employees will be able to make decisions faster because they know what decisions to make, as opposed to newbies who will be learning from a potentially flawed tool. Treat the technology like any other and augment existing staff with its capabilities, especially in cases where it can speed up execution even if the outcome is inaccurate.