Gartner Predicts 2024: IAM and Data Security Solve Long-Standing Challenges

See how good data management practices make a marked difference in your IAM program.



Do you have a roadmap for data quality?

Most IAM programs lack a clear plan for IAM data quality, availability and integration improvements.

  • The disciplines of IAM and data security are overlapping 
  • There’s a growing need for data management skills in IAM solutions, but most IAM vendors don’t have this expertise  
  • AI innovation depends on the ability to access high-quality data  
  • Lack of data expertise creates a “drag” on IAM control and effectiveness
Read Gartner’s Take
Key Takeaways

Build data management expertise into IAM

Accurate security decisions depend on having the right data. Gartner suggests including data management into your IAM practices for greater security and risk gap reduction.

  • More complex or regulated organizations have an even greater need for data management
  • Specialized data management technologies can reduce the drag on IAM—letting “action” technologies do their work
  • The first step is to take on data design with an IAM data catalog
  • Applying Gartner’s VIA model—visibility, intelligence, and action—will accelerate data quality improvements

Predicts 2024: IAM and Data Security Combine to Solve Long-Standing Challenges

“The drive to improve data management for IAM will likely be strongest in large, complex and highly risk-sensitive organizations”

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Data management is the key to better security

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Let's chat about Gartner's recommendations for 2024 and see where you can improve your roadmap with RadiantOne.

Predicts 2024: IAM and Data Security Combine to Solve Long-Standing Challenges 

By Analyst(s): Joerg Fritsch, Andrew Bales, Nathan Harris, Homan Farahmand 

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