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"Market Guide for Data Security Platforms"Key Insights from Gartner ®

Learn key strategy recommendations for Data Security leaders combining controls, business logic, fine-grained authorization, and more.

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“Business requirements to leverage data and share data, for example for AI/ML use cases, require data security controls and highly-granular data access which is provisioned fast and humanly understandable. Tight-fitting data access and security controls allow you to reveal and share (leverage) more of your data. However, organizations face sufficient complexity when it comes to provisioning and rightsizing entitlements and data security controls. This extends to data privacy as well as analytics governance and ethics.”

— Gartner

The 2024 Gartner Market Guide for Data Security Platforms' sheds light on data access intelligence and governance, highlighting challenges and providing recommendations for security and risk management leaders in enterprises.

Gartner states that “When adopting a DSP, you will want to maximize collaboration and monetization of data through secure data sharing, and follow a “need to share” principle.”

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Our key takeaways include:

  1. Traditional security tools lack the capability to secure data that needs to be shared with both internal and external teams.
  2. The complexity of managing ever-growing data access policies has created a need for Data Security Platforms (DSPs) to help streamline data access controls, protection, and compliance.
  3. Consider DSPs that offer broad capabilities, such as data discovery, access controls, and masking, and support for data systems like datalakes for enabling AI/ML use cases.
Gartner Report

Gartner, Market Guide for Data Security Platforms, Joerg Fritsch, Brian Lowans, Andrew Bales, 5 January 2024

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