Security of Large Language Models, from specific threats to generative models to implementable defenses. Covers prompt injection, jailbreak, data exfiltration via output, model poisoning, supply chain risk in foundation models, fine-tuning vulnerabilities, as well as access controls, sandboxing, and runtime monitoring for secure LLM deployments.