microsegmentation

Deepfence Runtime API & code samples

A static code analyzer to generate network connection topology for micro-service applications

Static analysis from configs → Kubernetes NetworkPolicies in seconds

Customer Segmentation Recommendation is a Machine Learning based project which analysis user data and preferences to provide product recommendations on a micro-segment level and also helps the marketing team in making better marketing-business strategy by analysing its customers based on their buying behaviour.

Produces a set of network policies, given a json describing the connectivity in a given cluster

This repository is a demonstration of the functionalities of kubernetes network policies together with egress network policy (open vSwitch).

Cross-platform zero-trust microsegmentation engine enforcing network policies at the kernel level (eBPF, WFP, pf) with etcd-backed policy distribution and hybrid cloud security orchestration (AWS/GCP/Azure).

Enforcing Illumio Policy for Azure Microsoft SQL Server Database

Visualizing traffic flows and securing Amazon RDS with Illumio ASP

Zero Trust security framework implementation guides, NIST 800-207 mappings, and architecture patterns for enterprise environments

What's Been Set Up: Complete Codebase - All components implemented and tested Git Repository - Initialized with proper commit history Documentation - Comprehensive guides and API docs GitHub Workflows - CI/CD pipeline with security testing Community Files - Contributing guide, issue templates, PR templates Open Source License

⚠️ Description only - code is confidential. Simulates micro-segmented networks and Zero Trust access controls in a virtualized lab environment.

This repository provides a sample Terraform script which deploys software-defined networking and security components to enable organizations to obtain zero-trust within their data centers and deliver multi-tenancy with true isolation on a common hardware platform.

NSX-Alert-Dashboard for microsegmentation projects

Eight locally-verified microsegmentation patterns (K8s NetworkPolicy, Cilium L7, Calico, Istio mTLS, SPIFFE/SPIRE, nftables, OPA Gatekeeper, LocalStack AWS SG)

A network security tool that analyzes hosts from an Nmap scan or YAML inventory, classifies them by role and sensitivity, and generates a least-privilege segmentation plan. It creates security zones, justified firewall rules, and compares attack paths before and after segmentation to show reduced lateral movement.

Zero Trust security — what vendors won't tell you. Implementation pain, legacy nightmares, identity sprawl, and the gap between marketing and reality.

Doesn't actually write resumes, but will make you learn how to write one very quickly if you run it. Used for testing the effectiveness of your VLANs & Subnetting in the best, most-comprehensive way possible.

Tool: Zero Trust architecture assessment — ZTNA config, device posture, microsegmentation, continuous verification validation in Python

AI-powered microsegmentation for Zero Trust networks — XGBoost IDS on UNSW-NB15 + DBSCAN segmentation + Ryu OpenFlow deny-by-default enforcement on Mininet. CMU 14-742.