Cisco researchers uncovered widespread security lapses in large language model deployments, identifying over 1,100 publicly accessible Ollama servers vulnerable to unauthorized access and prompt injection. The study leverages Shodan scanning to reveal how default configurations enable risks like model theft and resource hijacking, demanding urgent industry-wide security reforms.