How Do You Measure FAIR Risk in the Mythos Era?

Aqua positions its FAIR Risk Dashboard as a way to translate container security and runtime enforcement data into dollar-valued Annual Loss Expectancy (ALE) for boards and auditors, arguing that AI accelerates vulnerability discovery and weaponization and therefore increases exposure. The paper advocates runtime blocking (not audit-only policies) as a compensating control, describes a domain-based control stacking methodology for defensible residual risk calculations, and gives an illustrative example showing the financial value of enforcement during a one-week patch window.