Assurance Score — one view of governance health

Six dimensions (Transparency, Security, Compliance, Reliability, Ethics, Sustainability), aggregated per deployment.

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Simulation Methodology

IOA's Assurance Score is validated through 1 million simulations using randomized inputs across varying complexity levels and adversarial scenarios. This rigorous testing ensures scoring accuracy across real-world deployment conditions.

Simulation Scale

  • 1M simulations with random inputs (0-1000 characters per field)
  • 50% adversarial cases including noisy and corrupted data
  • Random seed: 42 for reproducibility

Compliance Threshold

  • Score ≥ 0.7 required for compliance pass
  • Varying jurisdictions: EU, US, Global frameworks
  • Multi-framework testing: GDPR, HIPAA, SOC 2, ISO 27001

Input Complexity

  • Low-data scenarios: 10 fields, minimal complexity
  • High-complexity scenarios: 100+ fields, nested structures
  • Adversarial noise: 20% corrupted data to test resilience

Data Sources

  • Runtime checks: Real-time policy enforcement validation
  • Mapping coverage: Framework requirement satisfaction
  • Incident counters: Violation tracking and trending

Scoring Calculation

Six dimensions (Transparency, Security, Compliance, Reliability, Ethics, Sustainability) are weighted based on framework requirements and aggregated using a weighted average. Individual dimension scores range from 0.0 to 1.0, with the final Assurance Score calculated as:

Formula:
Assurance Score = Σ(dimension_score × dimension_weight) / Σ(dimension_weight)

Variance & Caveats: Scores may vary ±5% based on input data quality and framework-specific requirements. Edge cases with incomplete data may produce lower confidence scores. Real-world deployment should include manual validation for critical compliance decisions.

Assurance Score — 1M simulations

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Evidence publishing by Oct 3, 2025

Frequently Asked Questions

How to interpret scores?

Scores range from 0.0 to 1.0, with higher scores indicating better governance health. Each dimension is weighted based on its importance to overall system trustworthiness.

How are false positives handled?

False positives are tracked and used to improve detection algorithms. The system learns from corrections and adjusts scoring accordingly.

How often recalculated?

Scores are recalculated in real-time as new data becomes available, with daily aggregation for trend analysis.

What about vendor models?

IOA works with any AI model or system, providing consistent governance scoring regardless of the underlying technology.