Securing AI models, LLMs, and neural networks. Model theft, prompt injection, jailbreaking, adversarial attacks, data poisoning, membership inference, model inversion, extraction attacks. Guardrail bypasses, alignment failures, fine-tuning security. Protecting the models themselves.