The security controls organizations need when putting AI applications into production. Building a custom AI application is easier than ever. A team can connect an LLM to internal documents, add RAG, create a chatbot interface, and have a useful prototype running quickly. But getting an AI application to work is not the same as making it secure. Once an application starts handling real users and real organizational data, security needs to cover more than the model. It needs to...