About this session
AI risk is often discussed in qualitative terms, making it difficult for executives to compare exposures, prioritize investments, or justify controls. This session shows how to quantify AI-related risk using scenarios, financial impact ranges, probability estimates, control effectiveness, and residual risk, and how to connect that risk to business interruption, regulatory exposure, and strategic decision-making.
Registration opens July 29, 2026. This session is part of ArcQubit's ongoing AI risk and security briefings.