OWASP TOP10 for Language Models (LLM) is here!

In 2023, OWASP has released insights regarding the top threats associated with applications based on large language models (LLMs). The document outlines ten key categories of threats that can impact the security of such applications. Among these threats are issues related to data, such as unauthorized access to information and manipulation of input data. Another significant threat is the lack of sufficient oversight, which can lead to unintended consequences. Variations in AI model responses to user input data can also result in unpredictable outcomes during user interactions with the application.

The report emphasizes the necessity of developing best practices for security in the realm of LLM applications to mitigate risks and enhance user trust. There is also a call for increased collaboration between model developers and security engineers to better address these threats. Furthermore, there is a need for education surrounding the potential impacts of using data generated by LLMs. A critical point is that appropriate security measures should be incorporated during the application design phase and not treated as an additional step post-development.

To summarize, the OWASP document serves as an essential step towards raising awareness about securing applications built on large language models. It encourages caution and proactive measures. Given the rapidly evolving nature of LLM technology, it is vital for developers and organizations not only to monitor these threats but also to implement appropriate mitigations and continuously adapt their security strategies. With the increasing popularity of LLMs, their responsible execution and safeguarding are becoming crucial for the success of projects in this area.