Whether human, non-human, or agentic, identities have become the dominant control plane - and attack surface - of modern digital infrastructures. Yet our visibility into who actually has access to what remains fragmented across IGA, PAM, CIEM, and SaaS environments, resulting in persistent over-entitlement and hidden risks. In the age of AI, this gap becomes critical: Access can be exploited at machine speed, while IAM architectures often still rely on static models, periodic reviews, and incomplete context. Identity Visibility and Intelligence Platforms (IVIPs) have emerged as an architectural response to these real-world challenges, introducing a dedicated layer for continuously aggregating, correlating, and analyzing identity and access data across the Identity Fabric. Drawing on practical observations from the field, this session examines why identity transparency has remained elusive despite mature IAM controls - and why continuous identity visibility and intelligence are increasingly foundational for risk-adaptive access, identity threat detection, and true least privilege in AI-driven environments.
