Your Local LLM Is Not as Private as You Think

Running AI locally was supposed to offer a safer, more private way to use large language models, but a recent vulnerability called Bleeding Llama from Cyera Research has thrown that assumption into question. This flaw in Ollama, a popular platform for running local models, reveals that even locally stored AI can have critical security flaws. It underscores the importance of robust local security measures and suggests that the convenience of local AI might not come without significant risks. This development is crucial as it impacts how we approach data security and privacy in AI applications.