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    CALCULATORiQ™
    AI vs the Financial System

    AI Risk Exposure Calculator

    Estimate institutional exposure to AI-enabled threat acceleration. Module A produces an AI attack likelihood band, financial exposure range, and operational downtime estimate. Module B simulates cyber loss under specific breach scenarios with regulatory notification mapping to DORA, NYDFS Part 500, and PRA SS1/21.

    Institution Profile

    Risk Output

    Output 1. AI attack likelihood
    74
    Very High

    Primary driver: sector base risk under DORA Article 6 governance expectations.

    Output 2. Estimated financial exposure range
    $2.7M to $22.5M

    Annualised expected loss range under sustained AI-enabled threat pressure, based on sector benchmarks scaled by headcount and vendor concentration.

    Output 3. Operational downtime risk
    ~18 hours

    Estimated potential disruption to a critical business service under a successful AI-accelerated intrusion. Map against your DORA Article 11 impact tolerance for the affected service.

    Methodology. These estimates are derived from public industry benchmarks and operational risk capital references. They are indicative, not actuarial predictions. For a tailored assessment mapped to your specific programme and regulatory obligations, request the Cabier AI Risk Readiness Review.

    Next steps

    These estimates are based on industry benchmarks. For a tailored assessment mapped to your specific programme and regulatory obligations, request the Cabier AI Risk Readiness Review. You can also export this view as a PDF using your browser's print dialog.