AI Risk Assessment Framework
Mathematical boundaries for safe AI deployment
Quantitative Risk Analysis
Our risk assessment framework transforms qualitative concerns into quantifiable metrics with mathematical boundaries. Every risk has a proof-based mitigation strategy.
Risk Quantification
Risk = Probability(event) × Impact(event) × Exposure(time)
Assessment Areas
- Model Risk: Bias, drift, adversarial attacks
- Operational Risk: System failures, data loss
- Compliance Risk: Regulatory violations
- Ethical Risk: Fairness, transparency issues
Our Process
- Risk identification through mathematical modeling
- Quantitative impact assessment
- Boundary condition establishment
- Mitigation strategy design with proofs
- Continuous monitoring implementation