Insider Threat Indicator Composite Score Calculator
Restricted insider-threat control-review rubric, not infer malicious intent or personal dangerousness. This restricted caller-defined rubric has three independently declared criterion domains: independently witnessed access-control gap, independently witnessed policy anomaly, independently witnessed incident evidence. Scores 0–100, nonnegative calibrated weights; known-only normalized mean and unresolved weight retained. No universal validated model, population risk prediction, personal diagnosis or authorization.
Description
An insider-threat rubric combines independently reviewed indicators under selected weights.
An insider-threat rubric combines independently reviewed indicators under selected weights.1
Its numerical summary does not establish intent, guilt or a calibrated event probability. Use this tool to summarize known criterion scores under caller weights and retain missing-evidence coverage.
When to use Insider Threat Indicator Composite Score Calculator
Use this tool to summarize known criterion scores under caller weights and retain missing-evidence coverage. Establish the jurisdiction or research scope, observation and event definitions, reference date, matched period and denominator basis.
How to use Insider Threat Indicator Composite Score Calculator and understand its results
- Establish the jurisdiction or research scope, observation and event definitions, reference date, matched period and denominator basis.
- Enter independentlyAnnotatedCriterionScores, callerCalibratedCriterionWeights, criterionKnownFlags, using the field meanings and rules below, then run the tool.
- Read result.knownWeightedScore, result.unknownWeightFraction, result.unknownCriterionIndices. Interpret each field using the units, signs and evidence rules below.
- If input validation fails, correct the reported field and run again. Before applying a successful result, check the stated reference scope, units, assumptions and any retained unknown evidence.
| Input field | Meaning | Value type | Requirement |
|---|---|---|---|
| independentlyAnnotatedCriterionScores | Independently annotated criterion scores | list of number | Required |
| callerCalibratedCriterionWeights | Caller calibrated criterion weights | list of number | Required |
| criterionKnownFlags | Criterion known flags; 1 means known and 0 means unknown; keep the same item order | list of number | Required |
Enter exactly three aligned finite criterion scores, nonnegative weights and binary known flags. Scores must lie in 0–100 even when marked unknown. Require positive total weight and positive known weight; known items with only zero weights do not suffice. Divide the known weighted sum by known weight, report unknown weight divided by total weight, and retain zero-based unknown indices. The generic rubric neither supplies an official instrument nor calibrates a probability.
knownScore=Σ(score_i×weight_i×known_i)/Σ(weight_i×known_i); unknownWeightFraction=Σ(weight_i×(1−known_i))/Σweight_i Apply the field units and exact ordering, boundary and evidence rules above.
| Output field | Meaning | Value type |
|---|---|---|
| result | Structured result containing the calculation or selected reference fields below | object |
| result.knownWeightedScore | Weighted mean over known criteria with positive known weight, on the supplied 0–100 scale | number |
| result.unknownWeightFraction | Unknown criterion weight divided by total criterion weight | number |
| result.unknownCriterionIndices | Zero-based positions of unknown criteria | list of values |
{
"input": {
"independentlyAnnotatedCriterionScores": [
20,
40,
60
],
"callerCalibratedCriterionWeights": [
1,
2,
1
],
"criterionKnownFlags": [
1,
1,
1
]
},
"output": {
"result": {
"knownWeightedScore": 40,
"unknownWeightFraction": 0,
"unknownCriterionIndices": []
}
}
} Limitations and assumptions
Its numerical summary does not establish intent, guilt or a calibrated event probability. Results depend on the independently established measurement basis and the exact model assumptions above.
Every listed input requires an explicit value. Unexpected fields, incorrect value types, nonfinite numbers and sparse numeric arrays fail validation; tool-specific bounds and alignment rules apply as described above. Extremely large inputs or outputs can also be rejected. An input error is distinct from a successful calculation that reports a false comparison or retains unknown evidence.
Alternative or Complementary methods
Use Ponzi Scheme Red Flag Return Consistency Checker to examine a related aspect: Invariant-return claims, withdrawal obstruction and missing reliable verification can prompt investment-fraud review.
Use Embezzlement Access Position Risk Tier Lookup where its separate inputs and scope apply: Embezzlement-access typologies describe roles and control conditions within an institution.
References
Similar or alternative tools
- Ponzi Scheme Red Flag Return Consistency Checker
Invariant-return claims, withdrawal obstruction and missing reliable verification can prompt investment-fraud review.
- Embezzlement Access Position Risk Tier Lookup
Embezzlement-access typologies describe roles and control conditions within an institution.