Gartner Research

Modernizing IAM Architecture With Machine Learning

Published: 03 December 2019

Summary

Advanced identity analytics are now necessary for a risk-based approach to IAM. Security and risk management technical professionals need to understand the evolving state of and best practices for leveraging machine learning to improve IAM architecture and program management.

Included in Full Research

  • The Current State of Identity Analytics
  • The Imperative of Machine Learning for IAM and Security Use Cases
  • How Machine Learning Improves IAM
  • Hype Versus Reality
  • Building Your Identity Analytics Transition/Transformation Roadmap
    • Implications and Best Practices for Technical Architecture
    • Organizational Implications and Best Practices
  • Strengths
  • Weaknesses
  • IAM Use Cases
    • Access (AM and PAM) Use Cases
    • IGA Use Cases
    • IaaS Resource Protection Use Case
    • Identity Corroboration Use Cases
    • User and Entity Behavior Analytics Use Cases
  • Features to Consider When Evaluating Vendors
    • AM, PAM and IGA Tools
    • Identity Corroboration Tools

Analysts:

Mary Ruddy

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