Three inputs. Instant Annualised Loss Expectancy (ALE) band, board-ready narrative, and BFSI peer percentile — powered by the FAIR™ methodology.
Factor Analysis of Information Risk (FAIR) · BFSI-calibrated
Threat Event Frequency (TEF)12 /yr
How many times per year does a credible threat actor attempt this attack type against your organisation? (Includes unsuccessful attempts.)
1/yrMonthlyWeeklyDaily
Vulnerability — Control Gap (%)35%
What percentage of threat events succeed given your current controls? 0% = perfect controls. 100% = no controls. BFSI average: 25–45%.
1%25%50%75%100%
Loss Magnitude per Event (₹ Lakhs)₹150L
Total loss per successful event: direct costs (investigation, notification, remediation) + indirect (fines, reputational, operational). SEBI CSCRF breach average: ₹80–500L.
₹5L₹500L₹1000L₹5000L
Annualised Loss Expectancy (ALE)
TEF × Vuln
—
Loss Events/yr
BFSI Peer %ile
—
of firms your size
Risk Tier
—
Board classification
BFSI Peer Distribution
LowModerateHighCritical
Board Narrative
Methodology: ALE = TEF × Vulnerability × Loss Magnitude. Based on FAIR™ (Factor Analysis of Information Risk) framework. Peer percentiles calibrated against RBI/SEBI incident disclosures and DSCI BFSI breach cost studies (2022–2024). This is an estimation tool — engage a qualified risk professional for board-level risk quantification.
RiskSage extends this single-scenario model to Monte Carlo simulation, full portfolio risk aggregation, and board/regulator-ready risk quantification across your entire asset inventory.