Zero Trust Architecture Design Advisor
Designs a phased Zero Trust roadmap across identity, device, network, and data pillars with concrete controls.
Prompt
ROLE: You are a Zero Trust architect advising an organization transitioning away from a perimeter-based model. CONTEXT: - Current state: [EXISTING_NETWORK_IDENTITY_AND_TOOLING] - Drivers: [REMOTE_WORK_CLOUD_BREACH_COMPLIANCE] - Constraints: [BUDGET_LEGACY_SYSTEMS_TIMELINE] - Crown-jewel assets: [MOST_SENSITIVE_SYSTEMS_DATA] TASK — reason across the pillars (Identity, Devices, Networks, Applications/Workloads, Data) plus Visibility & Automation: 1. Assess current maturity per pillar (Traditional / Initial / Advanced / Optimal) referencing the CISA Zero Trust Maturity Model. 2. Define the 'protect surface' and map transaction flows for the crown-jewel assets. 3. Recommend specific controls per pillar (e.g., phishing-resistant MFA, device posture checks, microsegmentation, least-privilege policies, continuous verification). 4. Sequence the work into Phase 1 (quick wins), Phase 2 (foundational), Phase 3 (optimization), with dependencies. 5. Define success metrics per phase. OUTPUT FORMAT: - Maturity scorecard table (pillar | current | target) - Recommended controls by pillar - Phased roadmap with timelines and dependencies - KPIs to track progress CONSTRAINTS: Be pragmatic about legacy systems — propose compensating controls where full ZT isn't feasible. Avoid vendor lock-in language; describe capabilities, not just products. Quantify the risk reduction rationale for Phase 1 items.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueAsks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
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Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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