Security KPI Dashboard Calculator
Roll operational security KPIs — MTTD, MTTR, patch SLA, coverage, training and incidents — into one weighted dashboard score.
About Security KPI Dashboard Calculator
Hygiene carries the most weight because patch currency, agent coverage, MFA coverage and backup reliability are the four measures that most consistently separate organisations that absorb an incident from those that do not. Speed is scored logarithmically so the improvement from 48 hours to 24 counts as much as 4 hours to 2. Repeat root causes are penalised directly, since recurring incidents mean post-incident actions are not being completed. Coverage percentages hide absolute numbers — 94% endpoint coverage on 20,000 hosts is 1,200 machines nobody is watching, and that is where the intrusion will be.
Formula
Security KPI Dashboard
dashboard = 0.40×hygiene + 0.30×speed + 0.20×learning + 0.10×training, where hygiene = 0.30×patchSLA + 0.25×endpointCoverage + 0.25×MFAcoverage + 0.20×backupSuccess.
- speed
- Logarithmic score from MTTD and MTTR — each doubling costs a fixed number of points
- hygiene
- The four coverage KPIs that correlate most strongly with incident outcomes
- learning
- 100 less the repeat-root-cause share and an incident-volume penalty
Worked example
With the default values below, Security KPI Dashboard Calculator returns Dashboard Score of 76.3. Change any input above and every figure here is recalculated in your browser.
Inputs used
- Mean time to detectaccepts 0.05–8,760 hours
- 6 hours
- Mean time to respondaccepts 0.05–8,760 hours
- 18 hours
- Critical patches inside SLAaccepts 0–100 %
- 82 %
- Endpoints with agents reportingaccepts 0–100 %
- 94 %
- Accounts on MFAaccepts 0–100 %
- 88 %
- Backup job success rateaccepts 0–100 %
- 97 %
- Training completionaccepts 0–100 %
- 86 %
- Significant incidents per quarteraccepts 0–10,000 incidents
- 3 incidents
- Incidents with a repeat root causeaccepts 0–100 %
- 30 %
Results
- Dashboard Score
- 76.3 / 100
- Rating
- B — Good
- Detection and Response Speed
- 63.6 / 100
- Control Hygiene
- 89.5 / 100
- Learning from Incidents
- 64.0 / 100
- KPIs in the Red
- 6 KPIs
- Worst-Performing KPI
- Repeat root causes — incidents are recurring, so post-incident actions are not landing
Step by step
- 1Values used
- 2Security KPI Dashboard
- 3Dashboard Score= 76.3 / 100
- 4Rating= B — Good
- 5Detection and Response Speed= 63.6 / 100
- 6Control Hygiene= 89.5 / 100
- 7Learning from Incidents= 64.0 / 100
- 8KPIs in the Red= 6 KPIs
Assumptions and limits
- The result is derived only from the 9 inputs listed above. Anything not among them is not part of the calculation.
- In particular, this calculator does not take inflation, tax, fees or charges 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 Security KPI Dashboard calculated?
dashboard = 0.40×hygiene + 0.30×speed + 0.20×learning + 0.10×training, where hygiene = 0.30×patchSLA + 0.25×endpointCoverage + 0.25×MFAcoverage + 0.20×backupSuccess. Hygiene carries the most weight because patch currency, agent coverage, MFA coverage and backup reliability are the four measures that most consistently separate organisations that absorb an incident from those that do not. Speed is scored logarithmically so the improvement from 48 hours to 24 counts as much as 4 hours to 2. Repeat root causes are penalised directly, since recurring incidents mean post-incident actions are not being completed.
Why does Security KPI Dashboard matter?
Coverage percentages hide absolute numbers — 94% endpoint coverage on 20,000 hosts is 1,200 machines nobody is watching, and that is where the intrusion will be.
What values do I need to enter?
This calculator takes 9 inputs: Mean time to detect, Mean time to respond, Critical patches inside SLA, Endpoints with agents reporting, Accounts on MFA, Backup job success rate, Training completion, Significant incidents per quarter, Incidents with a repeat root cause. The pre-filled defaults are a realistic starting point — replace them with figures from your own environment for a result you can act on.
Why are the red thresholds so demanding?
Because coverage gaps are actively selected by attackers. The last 5% of endpoints and accounts are disproportionately legacy, unmanaged or privileged, so 95% is a floor rather than a good result.
Should incident count be a KPI at all?
Carefully. A rising count can mean better detection rather than worse security, which is why the model weights it lightly and pairs it with the repeat-root-cause share — that second figure is the one that cannot be explained away.
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