implementing-cisa-zero-trust-maturity-model

mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026

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summary

Implement the CISA Zero Trust Maturity Model v2.0 across the five pillars of identity, devices, networks, applications, and data to achieve progressive organizational zero trust maturity.

skill.md
name
implementing-cisa-zero-trust-maturity-model
description
Implement the CISA Zero Trust Maturity Model v2.0 across the five pillars of identity, devices, networks, applications, and data to achieve progressive organizational zero trust maturity.
domain
cybersecurity
subdomain
zero-trust-architecture
tags
- zero-trust - cisa - maturity-model - federal-compliance - governance - nist-800-207 - identity - devices - networks - applications - data-security
version
'1.0'
author
mahipal
license
Apache-2.0
nist_ai_rmf
- GOVERN-1.1 - GOVERN-1.7 - MAP-1.1 - GOVERN-4.2 - MAP-2.3
nist_csf
- PR.AA-01 - PR.AA-05 - PR.IR-01 - GV.PO-01

Implementing CISA Zero Trust Maturity Model

Overview

The CISA Zero Trust Maturity Model (ZTMM) Version 2.0, released in April 2023, provides federal agencies and organizations with a structured roadmap for adopting zero trust architecture. The model defines five core pillars -- Identity, Devices, Networks, Applications & Workloads, and Data -- each progressing through four maturity stages: Traditional, Initial, Advanced, and Optimal. Three cross-cutting capabilities (Visibility and Analytics, Automation and Orchestration, and Governance) span all pillars. This skill covers assessment, gap analysis, and progressive implementation across all pillars and maturity levels.

When to Use

  • When deploying or configuring implementing cisa zero trust maturity model 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 NIST SP 800-207 Zero Trust Architecture
  • Understanding of federal cybersecurity mandates (EO 14028, OMB M-22-09)
  • Access to organizational IT asset inventory and network architecture documentation
  • Knowledge of identity and access management (IAM) fundamentals
  • Understanding of network segmentation and microsegmentation concepts

CISA ZTMM Five Pillars

Pillar 1: Identity

Identity refers to attributes that uniquely describe an agency user or entity, including non-person entities (NPEs) such as service accounts and machine identities.

Traditional Stage:

  • Password-based authentication
  • Limited identity validation
  • Manual provisioning and deprovisioning

Initial Stage:

  • MFA deployed for privileged users
  • Identity governance initiated
  • Basic identity lifecycle management

Advanced Stage:

  • Phishing-resistant MFA for all users (FIDO2/WebAuthn)
  • Continuous identity validation
  • Automated provisioning tied to HR systems
  • Identity threat detection and response (ITDR)

Optimal Stage:

  • Continuous, real-time identity verification
  • Passwordless authentication across all systems
  • AI-driven anomaly detection for identity behaviors
  • Full integration of identity signals into access decisions

Pillar 2: Devices

Devices include any hardware, software, or firmware asset that connects to a network -- servers, laptops, mobile phones, IoT devices, and network equipment.

Traditional Stage:

  • Limited device inventory
  • Basic endpoint protection (antivirus)
  • No device compliance checks

Initial Stage:

  • Comprehensive device inventory
  • Endpoint Detection and Response (EDR) deployment
  • Basic device health checks before network access

Advanced Stage:

  • Real-time device posture assessment
  • Automated compliance enforcement
  • Device certificates for machine identity
  • Vulnerability scanning integrated into access decisions

Optimal Stage:

  • Continuous device trust scoring
  • Automated remediation of non-compliant devices
  • Full device lifecycle management integrated with zero trust policies
  • Firmware integrity verification

Pillar 3: Networks

Networks encompass all communications media including internal networks, wireless, and the internet.

Traditional Stage:

  • Perimeter-based security (firewalls, VPNs)
  • Flat internal networks
  • Minimal east-west traffic inspection

Initial Stage:

  • Initial network segmentation
  • Encrypted DNS and internal traffic
  • Basic network monitoring and logging

Advanced Stage:

  • Microsegmentation of critical assets
  • Software-defined networking (SDN) for dynamic policy enforcement
  • Full TLS encryption for all internal communications
  • Network Detection and Response (NDR)

Optimal Stage:

  • Fully software-defined, policy-driven network
  • Zero implicit trust zones
  • AI-driven network anomaly detection
  • Automated threat response integrated with network controls

Pillar 4: Applications and Workloads

Applications and workloads include agency systems, programs, and services running on-premises, on mobile devices, and in cloud environments.

Traditional Stage:

  • Perimeter-protected applications
  • Manual vulnerability patching
  • Limited application-level logging

Initial Stage:

  • Application-level access controls
  • Web Application Firewalls (WAF)
  • Regular vulnerability scanning
  • Application inventory established

Advanced Stage:

  • Continuous integration of security testing (SAST/DAST)
  • Application-aware microsegmentation
  • API security gateways
  • Immutable infrastructure patterns

Optimal Stage:

  • Runtime application self-protection (RASP)
  • Automated application security orchestration
  • Full DevSecOps pipeline integration
  • Zero-standing privileges for application access

Pillar 5: Data

Data encompasses all structured and unstructured information, at rest, in transit, and in use.

Traditional Stage:

  • Basic encryption for data at rest
  • Limited data classification
  • No data loss prevention

Initial Stage:

  • Data classification scheme implemented
  • DLP policies for sensitive data
  • Encryption for data in transit (TLS 1.2+)
  • Basic data inventory

Advanced Stage:

  • Automated data classification
  • Fine-grained data access controls
  • Data activity monitoring
  • Rights management for sensitive documents

Optimal Stage:

  • Real-time data flow analytics
  • AI-driven data classification and protection
  • Automated response to data exfiltration attempts
  • Full data lifecycle governance with zero trust principles

Cross-Cutting Capabilities

Visibility and Analytics

Maturity Progression:
Traditional -> Manual log review, limited SIEM
Initial     -> Centralized logging, basic SIEM correlation
Advanced    -> UEBA, automated threat detection, data lake analytics
Optimal     -> AI/ML-driven continuous monitoring, predictive analytics

Automation and Orchestration

Maturity Progression:
Traditional -> Manual incident response, ad-hoc scripts
Initial     -> Basic SOAR playbooks, automated alerting
Advanced    -> Integrated SOAR with multi-pillar orchestration
Optimal     -> Fully autonomous response, self-healing infrastructure

Governance

Maturity Progression:
Traditional -> Ad-hoc policies, manual compliance checks
Initial     -> Documented zero trust strategy, basic policy framework
Advanced    -> Policy-as-code, continuous compliance monitoring
Optimal     -> Dynamic policy engine, real-time governance decisions

Implementation Process

Phase 1: Assessment and Baseline

  1. Inventory all assets across the five pillars
  2. Map current capabilities to ZTMM maturity stages
  3. Conduct gap analysis between current and target states
  4. Identify quick wins that move from Traditional to Initial stage
  5. Document dependencies between pillars
# Example: CISA ZTMM Maturity Assessment Scoring
class ZTMMAssessment:
    PILLARS = ['Identity', 'Devices', 'Networks', 'Applications', 'Data']
    STAGES = ['Traditional', 'Initial', 'Advanced', 'Optimal']
    CROSS_CUTTING = ['Visibility_Analytics', 'Automation_Orchestration', 'Governance']

    def __init__(self):
        self.scores = {}

    def assess_pillar(self, pillar, capabilities):
        """
        Assess a pillar against ZTMM criteria.
        capabilities: dict of capability_name -> maturity_stage
        """
        stage_values = {stage: i for i, stage in enumerate(self.STAGES)}
        scores = [stage_values.get(stage, 0) for stage in capabilities.values()]
        avg_score = sum(scores) / len(scores) if scores else 0

        overall_stage = self.STAGES[int(avg_score)]
        self.scores[pillar] = {
            'capabilities': capabilities,
            'average_score': avg_score,
            'overall_stage': overall_stage
        }
        return self.scores[pillar]

    def generate_roadmap(self):
        """Generate prioritized improvement roadmap."""
        roadmap = []
        for pillar, data in self.scores.items():
            for capability, stage in data['capabilities'].items():
                stage_idx = self.STAGES.index(stage)
                if stage_idx < 3:  # Not yet Optimal
                    next_stage = self.STAGES[stage_idx + 1]
                    roadmap.append({
                        'pillar': pillar,
                        'capability': capability,
                        'current': stage,
                        'target': next_stage,
                        'priority': 3 - stage_idx  # Higher priority for lower maturity
                    })
        return sorted(roadmap, key=lambda x: x['priority'], reverse=True)

Phase 2: Identity Foundation

  1. Deploy phishing-resistant MFA (FIDO2/WebAuthn)
  2. Implement identity governance and administration (IGA)
  3. Establish continuous identity verification
  4. Integrate identity providers with all applications
  5. Deploy identity threat detection and response

Phase 3: Device Trust

  1. Complete asset inventory with automated discovery
  2. Deploy EDR across all endpoints
  3. Implement device compliance checking
  4. Establish device certificate infrastructure
  5. Create device trust scoring mechanism

Phase 4: Network Transformation

  1. Implement network segmentation strategy
  2. Deploy microsegmentation for critical assets
  3. Enable encrypted DNS (DoH/DoT)
  4. Enforce TLS 1.3 for all internal communications
  5. Deploy NDR capabilities

Phase 5: Application Security

  1. Implement application-level access controls
  2. Deploy WAF and API security gateways
  3. Integrate security testing into CI/CD pipelines
  4. Establish application inventory and classification
  5. Implement runtime protection

Phase 6: Data Protection

  1. Implement data classification framework
  2. Deploy DLP across endpoints and network
  3. Enable data activity monitoring
  4. Implement rights management
  5. Establish data lifecycle governance

Compliance Mapping

CISA ZTMM PillarOMB M-22-09 RequirementNIST 800-207 Section
IdentityMFA for agency staff3.1.1
DevicesEDR for federal endpoints3.1.2
NetworksEncrypt DNS traffic3.1.3
ApplicationsApplication security testing3.1.4
DataData categorization3.1.5

Metrics and KPIs

  • Identity Pillar: Percentage of users with phishing-resistant MFA
  • Device Pillar: Percentage of devices with real-time posture assessment
  • Network Pillar: Percentage of network segments microsegmented
  • Application Pillar: Percentage of applications with zero trust access controls
  • Data Pillar: Percentage of sensitive data classified and protected
  • Overall: ZTMM stage achieved per pillar (target: Advanced minimum)

References

how to use implementing-cisa-zero-trust-maturity-model

How to use implementing-cisa-zero-trust-maturity-model on Cursor

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1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add implementing-cisa-zero-trust-maturity-model
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/implementing-cisa-zero-trust-maturity-model

The skills CLI fetches implementing-cisa-zero-trust-maturity-model from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.

3

Select Cursor when prompted

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4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/implementing-cisa-zero-trust-maturity-model

Reload or restart Cursor to activate implementing-cisa-zero-trust-maturity-model. Access the skill through slash commands (e.g., /implementing-cisa-zero-trust-maturity-model) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

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general reviews

Ratings

4.632 reviews
  • Aditi Reddy· Dec 20, 2024

    implementing-cisa-zero-trust-maturity-model has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Aanya Abbas· Dec 16, 2024

    Keeps context tight: implementing-cisa-zero-trust-maturity-model is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Dhruvi Jain· Dec 12, 2024

    implementing-cisa-zero-trust-maturity-model is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Emma Chen· Nov 11, 2024

    Useful defaults in implementing-cisa-zero-trust-maturity-model — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • James Choi· Nov 7, 2024

    implementing-cisa-zero-trust-maturity-model is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Oshnikdeep· Nov 3, 2024

    Keeps context tight: implementing-cisa-zero-trust-maturity-model is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Emma Liu· Oct 26, 2024

    Useful defaults in implementing-cisa-zero-trust-maturity-model — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Ganesh Mohane· Oct 22, 2024

    implementing-cisa-zero-trust-maturity-model has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • James Park· Oct 2, 2024

    implementing-cisa-zero-trust-maturity-model is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Henry Reddy· Sep 9, 2024

    implementing-cisa-zero-trust-maturity-model fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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