Emergent Risk Management and AI

Emerging Metrics in Risk and Audit: A

Data-Driven Evolution

Executive Summary

Organizations are increasingly exposed to risks that don’t behave the way traditional models predict.

Climate volatility, digital disruptions, geopolitical shocks, and employee burnout don’t appear neatly in a risk register—or if they do, they often surface too late.

This paper compares two approaches to measuring risk: the conventional model built onimpact-probability matrices, and a growing set of emergent metrics grounded in complexityscience, behavioral analytics, and AI.

Traditional tools are not obsolete—but they are incomplete.

To ignore emergent methods is to play poker with half the cards face down.