"OWASP Lists 10 Most Critical Large Language Model Vulnerabilities"

The Open Worldwide Application Security Project (OWASP) has released a list of the top 10 most critical vulnerabilities commonly found in Large Language Model (LLM) applications, emphasizing their potential impact, exploitability, and prevalence. The vulnerabilities include prompt injections, data leakage, poor sandboxing, and unauthorized code execution. This list aims to educate developers, designers, architects, managers, and organizations about the potential security risks associated with deploying and managing LLMs. The emergence of generative Artificial Intelligence (AI) chat interfaces based on LLMs and how they impact cybersecurity is an important topic of discussion. Concerns about these new technologies' risks range from the possibility of sharing sensitive corporate information with advanced self-learning algorithms to threat actors exploiting them in order to make their attacks more effective. This article continues to discuss the 10 most critical vulnerabilities found in AI applications built on LLMs.

CSO Online reports "OWASP Lists 10 Most Critical Large Language Model Vulnerabilities"