How to Build a Secure Homelab for LLM Inference

We’ve treated local AI deployments as experimental toys for too long. The moment a homelab becomes a dependency for work, the security posture must shift from convenience to rigorous controls. Treating downloaded .gguf and .safetensors files as untrusted binaries is the only way to prevent supply chain tampering or corruption before execution even begins. Most guides stop at "verify the checksum." That’s insufficient. A checksum only tells you if a file changed since download; it doesn’t tell y...