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"Improve Identity Security by Harnessing AI and Machine Learning"

An introduction to identity outliers and autonomous identity security

In today’s hyperconnected digital ecosystem, where organizations are constantly grappling with escalating cybersecurity threats, the need to safeguard sensitive data and critical business resources has never been greater. At its crossroads is identity governance and administration (IGA), a critical element of today’s most comprehensive cybersecurity strategies that help organizations manage digital identities and access rights across multiple systems and applications.
But what happens when your conventional IGA tools fail to detect identity outliers—anomalies that exist outside the typical user behavior? It’s here that artificial intelligence AI, specifically machine learning (ML) step in, offering an innovative solution to fortify IGA strategy.

Download this white paper to explore the intersection of IGA, AI and ML, and identity outliers. You’ll discover how artificial intelligence and machine learning can help identify and respond to access anomalies more effectively and efficiently than ever before. We’ll unpack the concepts of autonomous identity security, its merits, and the transformative effect it can have on your traditional IGA strategy.

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