Zero Trust Readiness Calculator
Score your zero trust maturity across identity, device, network, application, data, visibility and automation pillars.
About Zero Trust Readiness Calculator
The pillar weights mirror the CISA Zero Trust Maturity Model's emphasis: identity carries the most weight because every other control depends on knowing who is asking, and network segmentation is next because it bounds the damage when identity fails. The weighted sum maps onto the traditional, initial, advanced and optimal stages. Zero trust programmes stall when they over-invest in one pillar — usually MFA — while segmentation, data classification and automation lag, leaving the weighted score, and the real blast radius, unchanged.
Formula
Zero Trust Readiness
score = 0.25·identity + 0.20·network + 0.15·device + 0.15·application + 0.10·data + 0.10·visibility + 0.05·automation.
- identity
- Phishing-resistant MFA coverage across accounts
- network
- Share of workloads under micro-segmentation policy
- automation
- Share of response actions that run without a human
Worked example
With the default values below, Zero Trust Readiness Calculator returns Zero Trust Readiness Score of 58.8. Change any input above and every figure here is recalculated in your browser.
Inputs used
- Accounts covered by phishing-resistant MFAaccepts 0–100 %
- 78 %
- Endpoints with enforced compliance posture checksaccepts 0–100 %
- 65 %
- Workloads under micro-segmentation policyaccepts 0–100 %
- 40 %
- Applications behind per-request authorisationaccepts 0–100 %
- 55 %
- Data assets classified and labelledaccepts 0–100 %
- 45 %
- Estate covered by security telemetryaccepts 0–100 %
- 70 %
- Response actions automatedaccepts 0–100 %
- 35 %
Results
- Zero Trust Readiness Score
- 58.8 /100
- Maturity Stage
- Initial
- Grade
- D — Weak
- Weakest Pillar
- Response automation
- Points to Advanced Stage
- 11.3
Step by step
- 1Values used
- 2Zero Trust Readiness
- 3Zero Trust Readiness Score= 58.8 /100
- 4Maturity Stage= Initial
- 5Grade= D — Weak
- 6Weakest Pillar= Response automation
- 7Points to Advanced Stage= 11.3
Assumptions and limits
- The result is derived only from the 7 inputs listed above. Anything not among them is not part of the calculation.
- In particular, this calculator does not take inflation, tax or compounding frequency into account.
- Figures are rounded for display to 1 decimal place, so totals built from several rounded parts can differ slightly from the unrounded arithmetic.
How these calculators are built and tested is described on the Methodology page. If a figure looks wrong, please report it.
Frequently Asked Questions
How is Zero Trust Readiness calculated?
score = 0.25·identity + 0.20·network + 0.15·device + 0.15·application + 0.10·data + 0.10·visibility + 0.05·automation. The pillar weights mirror the CISA Zero Trust Maturity Model's emphasis: identity carries the most weight because every other control depends on knowing who is asking, and network segmentation is next because it bounds the damage when identity fails. The weighted sum maps onto the traditional, initial, advanced and optimal stages.
Why does Zero Trust Readiness matter?
Zero trust programmes stall when they over-invest in one pillar — usually MFA — while segmentation, data classification and automation lag, leaving the weighted score, and the real blast radius, unchanged.
What values do I need to enter?
This calculator takes 7 inputs: Accounts covered by phishing-resistant MFA, Endpoints with enforced compliance posture checks, Workloads under micro-segmentation policy, Applications behind per-request authorisation, Data assets classified and labelled, Estate covered by security telemetry, Response actions automated. The pre-filled defaults are a realistic starting point — replace them with figures from your own environment for a result you can act on.
Is a high score the same as being breach-proof?
No. The score measures coverage of the controls, not their configuration quality. A tenant with 100% MFA coverage using SMS codes scores the same as one using FIDO2 hardware keys, yet only the second resists phishing. Use the score to find gaps, then audit the strength of what is deployed.
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