Secure LLM Inference, Part 2: Hardening Self-Hosted Models
Run the model yourself and you inherit a server, one that ships wide open. A data-backed tour of exposed inference endpoints, KV-cache prompt leaks, and backdoored weights, plus SEAL, four rules for locking the box down.