4. Generative AI won't replace your team

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rakhirhif8963
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Joined: Mon Dec 23, 2024 3:15 am

4. Generative AI won't replace your team

Post by rakhirhif8963 »

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 that 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 albania mobile database 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.

5. Generative AI will not replace all types of AI or ML
The use of AI and ML in security tools is nothing new. Almost all security tools developed in the last 10 years use ML in some form. For example, adaptive and contextual authentication rely on not only heuristics but also naive Bayesian classification and logistic regression analytics to build their risk assessment logic. Unsupervised and supervised ML are often used for detection and detection verification. Generative AI complements these capabilities, but does not necessarily replicate them.
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