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Zscaler Microsegmentation

#7 of 30 in Microsegmentation Software

Zscaler Microsegmentation: AI-assisted, process-level segmentation for hybrid and multicloud workloads. Ranked #7 of 30 in Microsegmentation Software by our editors (8.8/10); pricing: Pricing on request; best for AI-assisted workload and process segmentation.

8.8/10Editor score
Zscaler Microsegmentation8.8 Visit Zscaler

At a glance

  • Editor score
    8.8 / 10
  • Pricing
    Pricing on request
  • Best for
    AI-assisted workload and process segmentation
  • Workload coverage
    Mixed
  • Founded
    2007 · San Jose, California, United States
  • Facts checked
    22 Sep 2026
Zscaler Microsegmentation screenshot
  • Where it wins

    • AI-assisted recommendations support workload grouping and policy design
    • Process- and application-level controls enable granular segmentation
    • Policy simulation and host-based enforcement support safer rollout
  • Where it doesn't

    • Pricing requires a sales conversation and is tailored to deployment scale
    • Agent-based deployment requires hosts to run the enforcement agent
    • Kubernetes enforcement is documented for Google Kubernetes Engine

Our verdict on Zscaler Microsegmentation

Zscaler Microsegmentation is an agent-based security product for organizations isolating workloads and controlling east-west traffic across multicloud and data-center environments. It is aimed at teams securing mission-critical applications, reducing lateral movement, and applying policies across hybrid infrastructures. Workload inventory and traffic-flow visibility provide the foundation for identifying communication patterns, while application- and process-level controls support more granular segmentation than broad workload-based rules alone.

Its strongest area is policy design and enforcement depth. AI-assisted recommendations and group suggestions can help teams organize workloads and translate observed traffic into segmentation policies. Identity-based controls add another policy dimension, and policy simulation allows organizations to review intended changes before enforcement. Local host-based enforcement is suited to controlling traffic at the workload, application, and process levels. Zscaler documents workload-to-workload segmentation across public clouds and data centers, with Kubernetes enforcement for Google Kubernetes Engine. A GraphQL API covers policies, agents, and telemetry, giving technical teams a programmatic path into the product.

Pricing is subscription-based and tailored to deployment scale and selected features, with a contact-sales model rather than a published numeric price. That approach fits organizations with complex environments and requirements that need to be scoped with a vendor. The product should appeal to security and infrastructure teams that need fine-grained controls, identity policies, visibility, and staged enforcement across hybrid or multicloud workloads. It is less suited to teams seeking a lightweight, self-service segmentation tool, a non-agent deployment model, or Kubernetes coverage centered beyond the documented Google Kubernetes Engine support.

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Zscaler Microsegmentation pricing

Plans Pricing on request No free plan — trial or paid only. Prices checked 22 Sep 2026.
See plans on zscaler.com

Zscaler Microsegmentation fact sheet

Free planNot verified
Paid fromNot verified
Deployment modelAgent_based
Workload coverageMixed
Policy granularityProcess
Kubernetes enforcementYes
Policy simulationYes
Identity-based rulesYes
Cloud environmentHybrid
DeploymentCloud
PlatformsWeb
SupportPhone, Tickets, Docs
Built forMid-market, Enterprise (editorial estimate)
PricingPricing on request (source)
Websitezscaler.com
Facts checked22 Sep 2026

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Featured on iTechGuides

Featured on iTechGuides — Zscaler Microsegmentation 8.8/10

Zscaler Microsegmentation is listed in our Microsegmentation Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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