Details

AI has moved from pilot projects into production workflows, customer-facing products and internal systems. But most identity infrastructure was not built for a world of AI agents, machine identities, and dynamic permissions. 

FusionAuth surveyed over 300 technology and security executives to understand how organizations are managing identity as AI adoption scales. The findings reveal a widening gap between AI-deployment and identity readiness, including high incident rates, widespread shadow AI, increased identity spend, and a surprising disconnect between confidence and actual protection. 

Join FusionAuth CMO, Dayna Rothman, for a walkthrough of the 2026 State of AI and Identity Report. She’ll unpack the findings that matter most and share a practical framework for ensuring your identity architecture is ready for AI-scale.

What you'll learn

• What the data reveals about AI identity incidents, shadow AI, and overconfidence
• Why AI deployment is outpacing identity and security infrastructure
• Why policies alone aren’t enough without enforceable access control
• How deployment model, tenant isolation, and fine-grained authorization are becoming critical buying criteria
• How to pressure-test your current identity architecture against the new AI-era requirements