The discovery of CVE-2026-7482, dubbed 'Bleeding Llama,' in the Ollama AI framework highlights a critical oversight in the rapid deployment of local LLM (Large Language Model) infrastructure. The unauthenticated memory leak allows remote actors to extract sensitive data from the process memory of the AI server. As CISA boasts about its own AI automation improvements for threat analysis, the vulnerability in Ollama serves as a reminder that the tools used for defense are often built on fragile, rapidly evolving codebases. The 'AI-on-AI' threat landscape is maturing, where attackers target the underlying inference engines to poison models or exfiltrate training data.