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Gartner Research

Three Styles of Identity-Based Segmentation

Identity-based segmentation, known as micro or zero-trust segmentation, provides an effective approach to limit the effect of malicious lateral network traffic. Security and risk management leaders who choose the right style of identity-based segmentation can reduce risk to their environments.

Get your complimentary access to these insights from Gartner produced by analysts Shilpi Handa, Adam Hils, Rajpreet Kaur, and Jeremy D'Hoinne. (19 min read)

 

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Quick Answers

Identity-based segmentation is essentially a network upgrade wherein each workload can be empowered to detect, prevent and contain threats. It strengthens the overall risk posture of the network. The concept adds granularity to the earlier widely adopted technique of network segmentation. The complexity arises in identifying the right-fit product for embarking on this journey and the challenges in adopting and managing it. Most identity-based segmentation technologies have features to address the distinct needs of east-west traffic. These features include AI/ML-based policy automation, flexibility of workload movement, context-based policies, and granularity.

Learn more by reading the report.

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