welcome

Thank you for purchasing AI Governance: Secure, privacy-preserving, ethical systems in its early stages. Your questions and comments will guide us, and your feedback will make the book stronger.

When we first set out to write about Generative AI governance, we found a field moving faster than most playbooks. Companies were releasing tools and models while guidance was scattered, overly high-level, or focused on a single concern: security or privacy or ethics. In practice, these concerns always overlap. Real governance programs must connect them and still work whether you’re using a web app powered by AI, integrating a vendor’s API, or running and training models yourself.

Two anchors shape everything you’ll read here. The first is a six-level governance lifecycle (6L-G) that mirrors how organizations actually work: start with intent and risk, review implementation, check before launch, monitor in production, and keep learning. The second is a focus on deployment models, because the risks (and the safeguards you own) look different for a SaaS customer, an API integrator, and a team hosting its own models.