Monte Carlo Simulation
What is Monte Carlo Simulation?
A mathematical technique that uses random sampling to model the probability of different outcomes in risk scenarios that involve uncertainty.
Frameworks that govern monte carlo simulation
What the standards actually require on monte carlo simulation
Requirements naming monte carlo simulation across 2 standards, quoted from the control text.
The FSA expects financial institutions to implement a comprehensive cybersecurity risk management framework + aligned with NIST CSF 2.0 + FFIEC IT Examination Handbook + ISO/IEC 27001 ISMS + integrated into Enterprise Risk Management (ERM).
JP-FSA-CYB-Risk-Management-NIST-CSF-FFIEC-Aligned-Identify-Protect-Detect-Respond-Recover-Govern-Plan-Do-Check-Act · Japan FSA Cybersecurity Risk Management Framework + NIST CSF 2.0 Aligned + FFIEC Crosswalk + Identify Protect Detect Respond Recover Govern + ISO 27001 ISMS + Plan-Do-Check-Act + Inherent vs Residual Risk + Risk Appetite + Cyber Risk in ERM →Lloyds MS11.17 Cyber Risk Quantification and Capital Linkage - cyber risk quantification methodology aligned with PRA Solvency II + Operational Risk Internal Model (where applicable) + standard formula + cyber-specific stressors + scenario analysis (Lloyds Rea...
LLOYDS-MS11-Cyber-Risk-Quantification-Capital-Linkage-Regulatory-Lloyds-Reporting-MS11-17-18-CBEST-FFIEC · Lloyds MS11 Cyber Risk Quantification + Capital + Regulatory + Lloyds Reporting + MS11.17-18 →Questions people ask about monte carlo simulation
What is Monte Carlo Simulation?
Why is Monte Carlo Simulation important for compliance?
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See how Monte Carlo Simulation applies across compliance frameworks
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