Data is foundational to artificial intelligence — but how does that translate to identity? Today’s enterprise has unprecedented levels of rich identity data across multiple parallel sources. Accessing real-time, data driven insights can become a central component to a systematic governance and risk management strategy, which leads to a more robust cybersecurity posture. More data leads to more predictive power in machine learning algorithms, but only if the underlying data is clean. This year introduces the rise of Identity Observability—the ability to assess data quality in terms of timeliness, completeness, distribution, schema, and lineage. This session will highlight the role of identity data, observability, and AI to uncover patterns, anomalies, and outliers, and will offer a path to radically improve decision-making and support your Identity-first security strategy.