Exposure Risk Quantification

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Transforms external recon findings into defensible 0–100 risk scores, A–F letter grades, and FAIR-aligned dollar loss estimates.

The Exposure Risk Quantification skill enables security professionals to translate raw OSINT and attack-surface recon findings into defensible, business-aligned cyber risk metrics. Utilizing Factor Analysis of Information Risk (FAIR) principles, it synthesizes three core factors—Exposure, Threat, and Impact—while applying an ownership and proof demotion cap to prevent unverified findings from inflating numbers. Beyond technical scores, the skill calculates dollar-denominated loss magnitudes using IBM/Ponemon cost benchmarks, traces multi-step attack-path amplifications, and formats everything into an executive-ready one-pager deliverable tailored for CISOs and board presentations.

주요 기능

01Ownership and proof demotion caps to prevent unverified or tentative findings from distorting scores
022,955 GitHub stars
03Dollar-denominated loss-magnitude estimation with record deduplication and Ponemon cost bands
04Attack-path amplification and kill-chain analysis distinguishing proven chains from co-location blast radius
05FAIR-aligned 0–100 org risk scoring and A–F letter grading driven by Likelihood and Impact
06Board-ready one-pager generation featuring top findings, hero dollar numbers, and prioritized asks

사용 사례

01Prioritizing external attack surface remediation by ranking exploitability across multi-step attack paths
02Translating complex external recon and bug bounty findings into clear board and CISO executive deliverables
03Calculating defensible Annualized Loss Expectancy (ALE) and breach cost estimates based on exposed assets