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Microsegmentation
Updated on May 2, 2025

Top 10 Open Source Micro Segmentation Tools in 2025

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Network security statistics show that 85% of responders from large companies with 5,000+ employees said they use microservices. These companies should protect their services across API communications; however, traditional segmentation regulations based on IP addresses and ports will not protect microservices. 

CISOs commonly search for open source micro segmentation tools that can:

  • enforce network security policies between APIs to block the network traffic flow,
  • enable role-based access controls (RBAC) within a mesh to define user & device permissions.

Discover the top 10 open source micro segmentation tools based on GitHub stars and our analysis:

Top 10 open source micro segmentation tools

Table 1: Market presence

Last Updated at 07-11-2024
Vendor# of GitHub stars# of GitHub contributersSupported languagesKey integrationsSource code
Istio35,0981,025

Go,
Shell,
Makefile,
CSS,
HTML,
Python

cert-manager,
Grafana,
Jaeger,
Kiali,
Prometheus,
SPIRE,
Apache SkyWalking,
Zipkin,
Third-party load balancers

Istio
HashiDays27,874910

CloudKinetics,
Insight,
3Cloud,
Atos,
Microsoft Azure,
Oracle Cloud Infrastructure,
AWS,
ACCUKNOX

Consul
Cilium18,731745

Go,
C,
Shell,
Makefile,
Dockerfile,
Smarty

AWS,
Google Kubernetes Engine (GKE),
Dataplane V2,
Anthos,
Azure CNI

Cilium
Linkerd10,453354

Go,
Rust,
JavaScript,
Shell,
Smarty,
Makefile

ExternalDNS,
Consul,
Istio,
Knative

Linkerd2
Flannel8,530235

Go,
Shell,
C,
Makefile,
Dockerfile

Not specifiedFlannel
Tigera5,536345

Go,
C,
Python,
Shell,
Makefile ,
PowerShell

OpenStack,
Flannel

Calico
Meshery4,927605

JavaScript,
Go,
Mustache,
CSS,
Makefile,
Open Policy Agent

AWS,
Kong .
OpenEBSMesh.
SPIFFE.
Prometheus

Meshery
Kumahq3,535101

Go,
Makefile,
Shell,
Mustache,
JavaScript,
HTML

Native API management solutionsKuma
Open Service Mesh2,583374

Go,
Shell,
Makefile,
C++,
Starlark

Dapr,
Prometheus,
Flagger,
Pyroscope

osm
Traefik Mesh2,00431

Go,
Makefile,
Dockerfile

Amazon EKS,
K3S,
Azure Kubernetes Service,
Google Kubernetes Engine

mesh

Vendor selection criteria:

  • Number of GitHub stars: 2,500+ 
  • Number of  GitHub contributors: 30+ 
  • Update release: At least one update was released in the last week.
  • Sorting: Sorted based on GitHub Stars in descending order.

Read more: Micro segmentation examples, micro segmentation use cases, micro segmentation in cloud, open source network security software.

1. Istio

Istio is an open platform that helps companies control API communication by connecting microservices.

Users can leverage RBAC capabilities with Istio, which enables micro segmentation of services within an Istio mesh by setting: 

  • Roles — to define user permissions (or a combination of permissions) that specify the activities a user may execute on a system. This enables organizations to categorize roles depending on jobs and identities.

    For example, administrators may describe the role as “user Mert calling from Bookstore frontend service”, resulting in a combined role identity of the calling service (Bookstore frontend) and the end user (Mert).
  • Access restrictions — to create RBAC concepts.

    For example, a database administrator may create access restrictions that state DB admins have full access to the database’s backend services, but a web client can only view the frontend service.

Figure 1: Istio micro segmentation with RBAC architecture

Source: Istio1

Here is a role “products-viewer” with read (“GET” and “HEAD”) access. Thus, a user who is assigned the “products-viewer” role can submit a request and receive a response to the microservice in the “default” namespace.

Figure 2: Microservice query example with Istio

Source: Istio2

Read more: Open source RBAC, RBAC use cases, RBAC examples.

2. Consul

Consul by HashiCorp is a microservice networking solution with micro segmentation features that allow teams to manage API communication. Consul provides services such as microservice discovery and microservice mesh. 

With Consul, administrators can manually define data requests using the command line or the API, or can automate the “microservice discovery and microservice mesh” process in Kubernetes. This ensures that service-to-service communication is authorized.

Video 1: Introduction to micro segmentation with mutual proxy authentication to HashiCorp Consul 

Source: HashiCorp3

3. Cillium

Cilium can help organizations by enabling multi-cluster Kubernetes deployments for service discovery, micro segmentation, and network security policy management.

Cilium can implement security rules based on service/container identity rather than an IP address for identification. This allows administrators to use policies at various tiers to control traffic within their Kubernetes cluster.

To understand how Cillum can provide hands-on micro segmentation implementations, consider the following example: a couple has decided to go on vacation with other passengers. Some important aspects for the example:

  • Namespace “Economy” for people in the Economy class.
  • Business class passengers- namespace “Business”
  • First-class passengers – namespace “First”
  • Passengers can only access services for their class (e.g. namespace)

Figure 3: Administrators creating three distinct namespaces  with Cillium

Figure 4: Administrators creating the services each user accesses in that namespace (e.g.economy) with Cillium

Using the network editor, administrators can manually accept the following communication patterns:

  • Ingress from workloads inside the same namespace (economy).
  • Egress to workloads inside the same namespace (economy).

Thus, when an economy-class customer requests a service within the same namespace, Cillium will give a permit.

Figure 5: Micro segmentation policy in action with Cillium

Source: Isovalent4

4. Linkerd

Linkerd is a service mesh software layer with micro segmentation capabilities that facilitates service-to-service communication between services or microservices via a proxy.

Video 2: What is Linkerd

Source: Linkerd5

5. Flannel

Flannel is an open source virtual network project built for Kubernetes. Flannel enables administrators to enforce policies based on how traffic is routed between containers. 

Note: Flannel is more focused on segmenting networks; it does not provide a policy enforcement feature for regulating how containers are networked to the host, However, it provides a plugin container network interface (CNI) for configuring containers.

6. Calico

Calico by Tigera is an open-source networking project that allows Kubernetes and non-Kubernetes/legacy workloads to maintain isolated networks based on zero trust architecture. Users who need to segment containerized systems in their business can use Calico’s network policies to isolate, protect, and secure numerous security domains, including Kubernetes workloads, namespaces, tenants, and hosts. 

Calico offers microservices for controlling API communications to stop unauthorized communication at three levels: workload isolation, namespace isolation, and tenant isolation. Calico’s components include:

  • Calico CNI   is an L3/L4 networking control plane that allows administrators to configure microservers.

    This helps to build isolated environments across host-to-host communication flows. Thus companies that use Calico CNI can create policy-based smaller segments between communication protocols to protect containers, Kubernetes clusters, virtual machines, and native host workloads.
  • Calico network policy suite — is designed to enable setting policies while configuring microservices. With the Calico network policy suite, administrators can:
    • Use “namespace” to assign permissions to certain  IP addresses across isolated containers or virtual environments.
    • Create network settings for divided networks that restrict IP addresses.

Video 3: Enabling workload micro segmentation with Calico 

Source: Tigera6

7. Meshery

Meshery is an open source, cloud native microservice manager. While managing microservices administrators can create:

  • Logical grouping — to segment environments to logically group relevant connections and credentials. This makes it easy to manage, resources rather than dealing with all of your connections separately.
  • Resource sharing — to connect environments to allocate Workspaces. Thus, team members may share resources. 

Video 4: Meshery design 

Source: Meshery7

8. Kuma 

Kuma is an open-source control plane for service mesh that provides microservice communication and routing.

With Kuma, organizations can service meshes based on identity and encryption. For example, administrators can allow/deny incoming requests in Kubernetes.

Figure 6: Kuma user interface

Source: Kuma8

9. Open Service Mesh (OSM)

Open Service Mesh (OSM) is a cloud-native service mesh that enables users to manage microservices.

OSM runs an Envoy-based control layer on Kubernetes, can be configured using  APIs. With OSM users can:

  • Send deny/allow requests for network traffic communication between APIs.
  • Secure service-to-service communication across clusters.
  • Define fine-grained access control policies for services.

Video 5: Defining fine-grained access control policies for services with Open Service Mesh (OSM) 

Source: Microsoft Azure9

10. Traefik Mesh

Traefik Mesh is an open source service mesh with micro segmentation features. It is container-native and runs in your Kubernetes cluster.

Video 6: Traefik Enterprise demonstration of microservices

Source: 10

How to select an open source micro segmentation tool: 3 factors to consider

Key factors to consider while selecting an open source micro segmentation tool:

  1. Evaluate the tool’s reputation: The number of GitHub stars and contributors shows the popularity of open-source technology. Tools with higher popularity will receive more up-to-date industry news, trends, and developments and your organization will get more community assistance.
  2. Analyze the tool’s features: Most open source micro segmentation solutions include microservice management, policy enforcement, and login options. However, if your business intends to utilize the micro segmentation tool for several applications, you should search for a more comprehensive solution. For example, a company seeking identity-based access restrictions may select a system with role-based access control (RBAC) capabilities.
  3. Compare open-source vs closed-source alternatives: While open-source solutions often have limited integrations with less advanced functionality, deploying a more tailor-made solution with more comprehensive features (e.g., cloud security posture management (CSPM)) can be more productive for your company.

Here’s a list of closed-source micro segmentation tools that provide network change automation, configuration monitoring, network topology mapping, and cloud discovery and exposure management (CDEM) features. 

Further reading

AIMultiple can assist your organization in finding the right vendor.

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Cem has been the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per similarWeb) including 55% of Fortune 500 every month.

Cem's work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE and NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and resources that referenced AIMultiple.

Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised enterprises on their technology decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.

He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider.

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.
Mert Palazoglu is an industry analyst at AIMultiple focused on customer service and network security with a few years of experience. He holds a bachelor's degree in management.

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