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Agent skill

Implementing Cisa Zero Trust Maturity Model

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

Assess, gap-analyze, and progressively implement the CISA Zero Trust Maturity Model v2.0 across five pillars (Identity, Devices, Networks, Applications & Workloads, Data) and three cross-cutting…

Apache-2.0Auto-check passedSecurity

Install Implementing Cisa Zero Trust Maturity Model

skills CLI
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-cisa-zero-trust-maturity-model -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-cisa-zero-trust-maturity-model --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/implementing-cisa-zero-trust-maturity-model .claude/skills/implementing-cisa-zero-trust-maturity-model && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
implementing-cisa-zero-trust-maturity-model
GitHub stars
34k
Token cost
~3.1k tokens
SKILL.md length
983 words
Files
8 (incl. scripts, references, assets)
Skills in repo
637
Repo updated
First seen
Licence
Apache-2.0

At a glance

Assess, gap-analyze, and progressively implement the CISA Zero Trust Maturity Model v2.0 across five pillars (Identity, Devices, Networks, Applications & Workloads, Data) and three cross-cutting…

  • Works in 6 steps: Assessment and Baseline → Identity Foundation → Device Trust → …
  • A federal/enterprise ZTMM assessment
  • SKILL.md covers Overview, When to Use, Prerequisites and CISA ZTMM Five Pillars, plus 5 more sections
  • Runs Python scripts from its folder

What it does

Implementing Cisa Zero Trust Maturity Model is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Assess, gap-analyze, and progressively implement the CISA Zero Trust Maturity Model v2.0 across five pillars (Identity, Devices, Networks, Applications & Workloads, Data) and three cross-cutting capabilities (Visibility/Analytics, Automation/Orchestration, Governance), from Traditional through Optimal maturity. Use for a federal/enterprise ZTMM assessment, phased roadmap, or mapping controls to NIST SP 800-207 and EO 14028.

Its SKILL.md is about 3.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts, reference files and assets (for example `assets/template.md`, `references/api-reference.md` and `references/standards.md`).

It sits in Security. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.

When your agent uses it

  • A federal/enterprise ZTMM assessment
  • Mapping controls to NIST SP 800-207 and EO 14028

Example prompts

  • “/implementing-cisa-zero-trust-maturity-model”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Assessment and Baseline
  2. Identity Foundation
  3. Device Trust
  4. Network Transformation
  5. Application Security
  6. Data Protection

What it can do on your machine

Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • cisa.gov
    • csrc.nist.gov
    • whitehouse.gov
    • media.defense.gov
    • microsoft.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Implementing Cisa Zero Trust Maturity Model loads about 3.1k tokens when it runs, and up to ~5.1k if it reads all its reference files. Until then it costs about 118 tokens; SKILL.md has 983 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~118
When it runs · the whole SKILL.md, loaded when a task matches
~3.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 983 words, ~3,095 tokens.

Download SKILL.mdSave it as .claude/skills/implementing-cisa-zero-trust-maturity-model/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
implementing-cisa-zero-trust-maturity-model
description
Assess, gap-analyze, and progressively implement the CISA Zero Trust Maturity Model v2.0 across five pillars (Identity, Devices, Networks, Applications & Workloads, Data) and three cross-cutting capabilities (Visibility/Analytics, Automation/Orchestration, Governance), from Traditional through Optimal maturity. Use for a federal/enterprise ZTMM assessment, phased roadmap, or mapping controls to NIST SP 800-207 and EO 14028.
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
mitre_attack
T1078, T1190, T1059

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
Show full SKILL.md (437 more words)Show less
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
python
# 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

© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files (scripts, references, assets) in skills/implementing-cisa-zero-trust-maturity-model of mukul975/Anthropic-Cybersecurity-Skills.

  • SKILL.md
  • LICENSE
  • assets/template.md
  • references/api-reference.md
  • references/standards.md
  • references/workflows.md
  • scripts/agent.py
  • scripts/process.py

Open the folder on GitHubat commit 54a7988

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Categories

Questions about Implementing Cisa Zero Trust Maturity Model

What does Implementing Cisa Zero Trust Maturity Model do?

Assess, gap-analyze, and progressively implement the CISA Zero Trust Maturity Model v2.0 across five pillars (Identity, Devices, Networks, Applications & Workloads, Data) and three cross-cutting…. Implementing Cisa Zero Trust Maturity Model is an agent skill from mukul975/Anthropic-Cybersecurity-Skills.0 across five pillars (Identity, Devices, Networks, Applications & Workloads, Data) and three cross-cutting capabilities (Visibility/Analytics, Automation/Orchestration, Governance), from Traditional through Optimal maturity.

When should I use Implementing Cisa Zero Trust Maturity Model?

Implementing Cisa Zero Trust Maturity Model fits situations like: A federal/enterprise ZTMM assessment; mapping controls to NIST SP 800-207 and EO 14028.

How do I install Implementing Cisa Zero Trust Maturity Model in Claude Code?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-cisa-zero-trust-maturity-model -a claude-code`. Or copy the skill folder (skills/implementing-cisa-zero-trust-maturity-model in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/implementing-cisa-zero-trust-maturity-model in your project. Claude Code loads it when a task matches its description.

How do I install Implementing Cisa Zero Trust Maturity Model in Codex?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-cisa-zero-trust-maturity-model -a codex`. Or copy the skill folder (skills/implementing-cisa-zero-trust-maturity-model in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/implementing-cisa-zero-trust-maturity-model in your project. Codex loads it when a task matches its description.

Can I use Implementing Cisa Zero Trust Maturity Model in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-cisa-zero-trust-maturity-model -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/implementing-cisa-zero-trust-maturity-model, .gemini/skills/implementing-cisa-zero-trust-maturity-model, .github/skills/implementing-cisa-zero-trust-maturity-model and .opencode/skills/implementing-cisa-zero-trust-maturity-model in your project.

What does Implementing Cisa Zero Trust Maturity Model need to run?

Going by SKILL.md and its folder, Implementing Cisa Zero Trust Maturity Model needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Implementing Cisa Zero Trust Maturity Model access the network?

SKILL.md names 5 domains. As links in the text: cisa.gov, csrc.nist.gov, whitehouse.gov, media.defense.gov and microsoft.com. This is read from the text; nothing was executed.

Is Implementing Cisa Zero Trust Maturity Model safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Implementing Cisa Zero Trust Maturity Model use?

Implementing Cisa Zero Trust Maturity Model is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Implementing Cisa Zero Trust Maturity Model use?

About 3.1k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2k tokens, read only when the agent opens those files.

What are the alternatives to Implementing Cisa Zero Trust Maturity Model?

Skills that share tags, products or a category with Implementing Cisa Zero Trust Maturity Model: Fla Ascend Performance (fla-org/flash-linear-attention, 5.8k stars), Deepsec Documentation Guide (vercel-labs/deepsec, 8.1k stars), Skill Scanner (getsentry/skills, 1k stars) and Serenity Aleabitoreddit (yan-labs/serenity-aleabitoreddit, 480 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Implementing Cisa Zero Trust Maturity Model?

mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 33,922 GitHub stars. The repository holds 637 skills in this directory. The repository was last updated on August 31, 2026.

Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.