Your Local LLM Is Not as Private as You Think

The Bleeding Llama vulnerability shows why running AI locally is not a security strategy

Running an LLM locally feels like a privacy win.

No cloud API. No third-party model provider. No prompts leaving your own machine.

That assumption is comforting. It is also incomplete.

In May 2026, Cyera Research disclosed a critical vulnerability in Ollama called Bleeding Llama. Ollama is one of the most popular ways to run open-source models locally. Developers use it to run models like Llama, Mistral, and others on laptops, workstations, and internal servers.