Gartner defines AI governance platforms as tools designed to ensure organizations comply with their responsible AI practices, organization policy, regulations, and other risk management frameworks/industry standards. They enable AI leaders and other leaders to streamline AI governance processes organizationwide and are a central repository that links trust, risk and security runtime controls for AI systems and third-party AI usage. They automate workflow approvals for new AI use cases, applications and agents, and support risk-based, real-time execution of responsible AI guardrails.
Gartner defines the privacy user experience (UX) as the components of an organization’s privacy program that directly touch an individual. These components provide transparency and control over individuals’ personal data, enabling them to manage and exercise preferences and rights. Privacy UX provides organizations with a compliance-backed foundation for responsible data use by consolidating and synchronizing individual choices across all touchpoints, thus enabling robust consent management and efficient subject rights processing. Central to most privacy laws are people, and their clarity and control over their personal data. The privacy UX enables individuals to control how much personal data to expose, to whom and for what purpose. It encompasses all the touchpoints where individuals meet and engage with organizations.