After risks are identified, they need to be analyzed and prioritized—and that’s where risk scoring comes in. In this episode, we break down both qualitative methods (like high/medium/low ratings and heat maps) and quantitative techniques (like Single Loss Expectancy, Annualized Loss Expectancy, and Annualized Rate of Occurrence). We explain how these models help translate risk into business impact, using dollar values, probability estimates, or criticality ratings to justify security investments or policy changes. We also explore tools that support this process, including risk scoring software, simulation models, and industry benchmarks. Good risk analysis ensures that leadership isn’t making decisions based on fear or guesswork—it provides a structured, repeatable framework for prioritization. When scoring is done well, the most serious risks rise to the top—where they belong.