"Popular Generative AI Projects Pose Serious Security Threat"

According to Rezilion, many popular generative Artificial Intelligence (AI) projects pose an increased security risk. Open source projects that use insecure generative AI and Large Language Models (LLMs) also have a poor security posture, resulting in a risky environment for organizations. The popularity of generative AI has grown, allowing users to create, interact with, and consume content in unprecedented ways. With the advancements in LLMs, such as Generative Pre-Trained Transformers (GPT), machines can now generate text, images, and code. The number of open source projects implementing these technologies is rising exponentially. More than 30,000 open source projects on GitHub are now using the GPT-3.5 family of LLMs. However, GPT and LLM projects pose several security risks to organizations that use them, such as trust boundary risks, data management risks, inherent model risks, and general security issues. This article continues to discuss generative AI security risks. 

Help Net Security reports "Popular Generative AI Projects Pose Serious Security Threat"