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Calcrivo

Security KPI Dashboard Calculator

Roll operational security KPIs — MTTD, MTTR, patch SLA, coverage, training and incidents — into one weighted dashboard score.

Inputs

hours
hours
%
%
%
%
%
incidents
%

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

6KPIs

Worst-Performing KPI

Repeat root causes — incidents are recurring, so post-incident actions are not landing

Step by step

  1. Values used

    Mean time to detect = 6 hours; Mean time to respond = 18 hours; Critical patches inside SLA = 82 %; Endpoints with agents reporting = 94 %; Accounts on MFA = 88 %; Backup job success rate = 97 %; Training completion = 86 %; Significant incidents per quarter = 3 incidents; Incidents with a repeat root cause = 30 %

  2. 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.

  3. Dashboard Score

    = 76.3 / 100

  4. Rating

    = B — Good

  5. Detection and Response Speed

    = 63.6 / 100

  6. Control Hygiene

    = 89.5 / 100

  7. Learning from Incidents

    = 64.0 / 100

  8. KPIs in the Red

    = 6 KPIs

How it works

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

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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