Is it possible for BurpGPT editions to produce false positive results?

This page addresses a frequently asked question.

Software designed to automate processes often yields false positives, especially in the case of Large Language Models (LLMs). The output quality of these models heavily depends on the quality of the prompts given and the supporting data provided.

In the context of cybersecurity, it's important to note that tools like BurpGPT represent significant advancements in automating security assessments. However, they should not be considered standalone solutions for comprehensive security audits. Users must engage in careful triaging and post-processing of the results generated by such tools to ensure they are accurate and relevant.

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