The rapid growth of artificial intelligence and language models has generated new challenges in security, privacy, and governance. Organizations face risks such as data breaches, model manipulation, adversarial attacks, and the generation of untrusted content. This seminar addresses security in AI systems and LLMs from both a technical and strategic perspective, enabling participants to understand vulnerabilities, implement controls, and design secure solutions. Real-world scenarios are explored where protecting models and data is key to ensuring trust and compliance in enterprise environments.