exposure-risk-quantification

SKILLFlusso di lavorocommunity
v0.0.0elementalsoulsMITAggiornato 10 g faFonte →

FAIR-aligned exposure quantification: turns a pile of recon findings into a defensible 0-100 + A-F org risk score (Likelihood x Impact, three ownership-aware factors: exposure/threat/impact), an ownership + proof demotion cap so unproven or weakly-owned findings can't inflate the number, a $-denomin

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10 g faUltimo aggiornamento
Skill
Autoreelementalsouls
Versione0.0.0
LicenzaMIT
CategoriaFlusso di lavoro
Formatiskill.md
PromptApri (vedi la scheda Prompt)
Compatibilità
Claude✓ Supportato
Cursor
Copilot
ChatGPT
Gemini
Descrizione

FAIR-aligned exposure quantification: turns a pile of recon findings into a defensible 0-100 + A-F org risk score (Likelihood x Impact, three ownership-aware factors: exposure/threat/impact), an ownership + proof demotion cap so unproven or weakly-owned findings can't inflate the number, a $-denominated FAIR loss-magnitude estimate (IBM/Ponemon per-record cost bands, cross-source record dedup, thr

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