This source did not publish a separate summary. Review SKILL.md before using the skill.
SKILL.md
Configuring Microsegmentation for Zero Trust
Prerequisites
Understanding of zero trust principles (NIST SP 800-207)
Knowledge of network segmentation concepts
Familiarity with firewall and SDN technologies
Experience with VMware NSX, Illumio, Guardicore, or Cisco ACI
Overview
Microsegmentation divides a network into granular security zones, enforcing least-privilege access between workloads at the application layer rather than relying on traditional VLAN-based segmentation. In a zero trust architecture, microsegmentation eliminates implicit trust between workloads within the same network segment, preventing lateral movement even after an attacker gains initial access.
This skill covers designing microsegmentation policies using workload identity, implementing host-based and network-based enforcement, and validating segmentation effectiveness with tools like Illumio Core and VMware NSX.
When to Use
When deploying or configuring configuring microsegmentation for zero trust capabilities in your environment
When establishing security controls aligned to compliance requirements
When building or improving security architecture for this domain
When conducting security assessments that require this implementation
Prerequisites
Familiarity with zero trust architecture concepts and tools
Access to a test or lab environment for safe execution
Python 3.8+ with required dependencies installed
Appropriate authorization for any testing activities
Architecture
Microsegmentation Models
Network-Based (VMware NSX, Cisco ACI): Distributed firewall rules enforced at the hypervisor or network fabric level
Host-Based (Illumio, Guardicore): Agent-based enforcement at the OS level using iptables/WFP rules
Container-Based (Calico, Cilium): Network policies enforced at the pod/container level in Kubernetes
Application-Based (Zscaler Workload Segmentation): Identity-based segmentation based on software identity rather than IP addresses
Enforcement Points
Traditional Segmentation Microsegmentation
┌─────────────────┐ ┌──────────────────────┐
│ VLAN 10 │ │ Workload A ←policy→ │
│ ┌───┐ ┌───┐ │ │ Workload B ←policy→ │
│ │ A │ │ B │ │ │ Workload C ←policy→ │
│ └───┘ └───┘ │ │ Workload D ←policy→ │
│ (trust each │ │ (zero trust between │
│ other) │ │ every pair) │
└─────────────────┘ └──────────────────────┘
Key Concepts
Application Dependency Mapping
Before creating segmentation policies, discover actual communication flows between workloads using traffic telemetry. Tools like Illumio, Guardicore, and AppDynamics provide application dependency maps showing which workloads communicate, over which ports, and how frequently.
Policy Modeling
Draft policies in monitor/visibility mode before enforcement. This allows validation that proposed rules will not break legitimate traffic while identifying unnecessary or risky communication paths.
Label-Based Policy
Modern microsegmentation uses labels (role, application, environment, location) instead of IP-based rules. Label-based policies are portable across environments and survive IP changes during migrations.
Ring-Fencing
Isolate critical applications (PCI cardholder data environment, SWIFT financial systems, healthcare PHI) with strict allow-list policies that deny all traffic not explicitly permitted.
Workflow
Phase 1: Discovery and Mapping
Deploy Visibility Agents
Install lightweight agents on all workloads (servers, VMs, containers)
Configure agents to report real-time traffic telemetry to the management console
Allow 2-4 weeks of traffic collection to build a comprehensive flow map
Build Application Dependency Map
Review auto-discovered communication flows in the management console
Identify application tiers: web servers, app servers, databases, middleware
Map legitimate communication paths and flag unexpected connections
Document data flows for compliance scope (PCI, HIPAA)
Assign Labels
Create a labeling taxonomy: Role (web, app, db), Application (ERP, CRM), Environment (prod, dev, staging), Location (dc1, aws-east)
Apply labels to all workloads via the management console or API
Validate label accuracy against CMDB and application owner input
Phase 2: Policy Design
Define Segmentation Zones
Environment isolation: Production cannot communicate with Development
Tier isolation: Database tier only accepts connections from application tier
Application ring-fencing: PCI applications isolated from non-PCI workloads
Administrative access: Jump servers are the only management path
Create Allow-List Policies
For each application, define explicit allow rules for required communication
Use label-based rules rather than IP-based where possible
Include process-level restrictions where supported (e.g., only httpd on port 443)
Set default-deny for all unlisted communication
Model Policies in Test Mode
Enable policies in visibility/test mode (do not enforce)
Monitor for would-be blocked legitimate traffic
Refine policies based on test results over 1-2 weeks
Get application owner sign-off before enforcement
Phase 3: Enforcement
Enforce Incrementally
Start with the most isolated, lowest-risk application
Switch policy from test mode to enforce mode
Monitor for application issues in the first 24-48 hours
Proceed to next application after validation
Validate Segmentation
Run penetration tests attempting lateral movement between segments
Verify that blocked traffic generates alerts in the management console
Test emergency override procedures (break-glass)
Document enforcement status for each application zone
Phase 4: Operational Maintenance
Ongoing Policy Management
Integrate with CI/CD: auto-label new workloads from deployment pipelines
Review policy violations weekly and investigate anomalies
Update policies when applications change or new services deploy