The FAIR model translates cyber risk into rupees — the language your board and CFO already speak. Fill in your profile. Get your number.
Risk Level: CRITICAL
32% probability of a ransomware / extortion event in the next 12 months
Annual Loss Expectancy
₹60.3 Cr
Expected loss per year (ALE)
Single Breach Cost
₹127 Cr
If one event occurs (SLE)
3-Year Exposure
₹130 Cr
Cumulative risk (discounted)
Recommended Investment
₹7.2 Cr
12% of ALE — FAIR benchmark
Return on Security Investment
333x ROSI
Every ₹1 invested at this maturity level saves an estimated ₹333 in expected losses
DPDP Act Penalty Ceiling
₹200 Crore
A breach involving this data type triggers Schedule Item 1 adjudication — independent of your ALE. Both clocks run simultaneously.
Want a validated FAIR assessment?
These numbers use industry benchmarks. A tailored assessment using your actual threat intel, asset inventory, and control data produces figures accurate enough to put in front of your board.
Get a Full FAIR Assessment →Explore RiskSage AI PlatformBenchmarks sourced from IBM Cost of Data Breach Report 2024 (India), RBI IT Examination findings, and CreativeCyber BFSI client data. Not legal or financial advice.
FAIR (Factor Analysis of Information Risk) is the only internationally recognised standard for quantifying cyber risk in financial terms — and the only model that works in a CFO conversation.
How often is your environment likely to face a meaningful attack? Calibrated by industry, geography, and threat actor profile.
Given a threat event occurs, how likely is it to result in a loss? Your security maturity level directly reduces this factor.
If a breach occurs, what does it actually cost? Direct (response, ransom, legal), indirect (reputation, customer churn), and regulatory (DPDP, RBI).
ALE = TEF × Vulnerability × Loss Magnitude
Annual Loss Expectancy — the single number your CFO will engage with
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