Identity platforms generate vast amounts of telemetry, yet most organizations use this data only for audits, alerts, and compliance reporting. In practice, this leaves identity teams blind to some of their most important questions: where users struggle, where trust breaks down, and which controls actually improve outcomes.

This session explores how identity telemetry can be transformed from operational exhaust into a decision-making asset. Drawing from real-world identity programs, we examine which signals meaningfully reflect adoption and friction, which commonly mislead teams, and how telemetry reshaped product, security, and customer experience decisions.

We’ll also address how identity data fits into the era of AI—what identity signals can safely inform AI-driven systems, where governance boundaries must be drawn, and how misuse of telemetry can quietly erode user trust. Rather than focusing on dashboards or tooling, this talk emphasizes practical frameworks for interpreting identity data responsibly and using it to guide design, risk management, and long-term trust.

Attendees will leave with concrete ways to rethink identity data (telemetry) as a foundation for trust, not just visibility.