Generative AI Red Team Coverage Calculator

Assess the percentage of your generative AI misuse catalog that a red team covers each cadence, quantify backlog left after every cycle, and translate cadence choices into days needed for a complete sweep.

Number of high-risk abuse cases in the red team catalog that require periodic validation.
How many scenarios the red team can fully validate in a cadence cycle.
Number of days allocated to run the scenarios before the next release gate.
Defaults to 0. Accounts for fresh threat patterns joining the catalog each cadence.

Red teaming cadence planning tool—pair with qualitative risk assessments and production monitoring before adjusting mitigation budgets.

Examples

  • Catalog 60 scenarios, exercise 36 each 14-day cycle, add 4 new scenarios ⇒ Cycle coverage: 60.00% (36.00 of 64.00 scenarios). Daily throughput: 2.57 scenarios/day. Full catalog sweep requires 23.33 days. Residual backlog after each cycle: 28.00 scenarios (43.75% of the catalog plus inflow), requiring 10.89 additional days to clear.
  • Catalog 45 scenarios, exercise 30 every 10 days, no new scenarios ⇒ Cycle coverage: 66.67% (30.00 of 45.00 scenarios). Daily throughput: 3.00 scenarios/day. Full catalog sweep requires 15.00 days. Residual backlog after each cycle: 15.00 scenarios (33.33% of the catalog plus inflow), requiring 5.00 additional days to clear.

FAQ

How should I count compound scenarios that cover multiple misuse patterns?

Break compound scenarios into the discrete misuse outcomes you validate separately. Each outcome should be counted once in the catalog so coverage metrics align with your policy attestations.

What if my team runs overlapping cycles across multiple models?

Use the calculator per model or per deployment surface. Summing scenarios across distinct models inflates backlog and hides surface-specific risks—treat each threat catalog independently unless the same team executes shared test cases.

Can I incorporate automation that executes a subset of scenarios daily?

Yes. Increase the scenarios exercised per cycle to include automated scripts, or shorten the cycle length to reflect higher frequency monitoring. Document how automation coverage is validated to preserve audit evidence.

How do I model scenarios that become obsolete after mitigations land?

Reduce the documented misuse scenarios input as you retire threats. Keep a changelog so assurance teams can trace why the catalog shrank and confirm compensating controls remain effective.

Additional Information

  • Result unit: percentage of catalog scenarios exercised per cycle; time components are reported in days to contextualise cadence choices.
  • Backlog includes new scenarios added during the cycle; blank inflow defaults to zero so you can isolate current catalog coverage.
  • Daily throughput assumes scenarios are distributed evenly across the cycle and that resource levels remain constant.

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