AI Risk Management in SaaS: A Practical Guide

**Executive summary:** This document explains that AI risk in SaaS environments is driven by identity and access (including OAuth connections, integrations, and non-human identities), argues that traditional risk frameworks fail in decentralized SaaS adoption, and recommends operational controls—discover AI usage, map identity and access, assess integrations, monitor continuously, enforce least privilege, and align risk management with governance—while positioning Grip as a solution to provide SaaS-layer visibility and control.