A global Fortune 200 healthcare technology enterprise deployed Aurascape to govern AI use across more than 60,000 users, including public AI apps, embedded SaaS AI features, and tools accessed through personal or free-tier accounts. The security team focused on maintaining a live inventory, steering employees into approved enterprise tenants, and protecting proprietary and confidential data as adoption expanded.
The rollout began with discovery, creating a current catalog of AI apps and agents and assigning risk based on behavior, permissions, and data handling. Aurascape then distinguished enterprise tenants from personal accounts, redirected users to sanctioned tools, and applied context-aware policies that could allow, coach, warn, block, or redact depending on the app, user, and data involved.
Inline controls used real-time, multimodal data classifiers, redaction, and role-based access control for audit records and privacy. The deployment reduced unsanctioned long-tail AI access and use outside licensed tools to near zero, minimized sensitive-data exposure risk, and later expanded to Latin America, Asia-Pacific, the United Arab Emirates, and the European Union after covering more than 15,000 users in the United States.
