Gartner Research

Modernizing IAM Architecture With Machine Learning

Published: 03 December 2019

ID: G00386813

Analyst(s): Mary Ruddy

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.

Table Of Contents

Analysis

  • 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

Guidance

The Details

  • 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

Gartner Recommended Reading

©2021 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner is a registered trademark of Gartner, Inc. and its affiliates. This publication may not be reproduced or distributed in any form without Gartner’s prior written permission. It consists of the opinions of Gartner’s research organization, which should not be construed as statements of fact. While the information contained in this publication has been obtained from sources believed to be reliable, Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartner research may address legal and financial issues, Gartner does not provide legal or investment advice and its research should not be construed or used as such. Your access and use of this publication are governed by Gartner’s Usage Policy. Gartner prides itself on its reputation for independence and objectivity. Its research is produced independently by its research organization without input or influence from any third party. For further information, see Guiding Principles on Independence and Objectivity.

Already have a Gartner Account?

Become a client

Learn how to access this content as a Gartner client.