Multi-Factor Authentication Risk Reduction Calculator

Estimates the reduction in account compromise risk when implementing Multi-Factor Authentication (MFA), based on baseline breach probability, MFA effectiveness, and user adoption rate.

Formulas Used

1. Residual risk for MFA-protected accounts:

P_protected = P_base × (1 − E_mfa)

Where P_base = baseline annual compromise probability, E_mfa = MFA effectiveness (fraction).

2. Blended residual risk across all accounts:

P_residual = A × P_protected + (1 − A) × P_base
           = P_base × (1 − A × E_mfa)

Where A = MFA adoption rate (fraction). Accounts without MFA retain the full baseline risk.

3. Absolute Risk Reduction (ARR):

ARR = P_base − P_residual = P_base × A × E_mfa

4. Relative Risk Reduction (RRR):

RRR = ARR / P_base = A × E_mfa

5. Expected compromised accounts:

Breaches_before = P_base     × N
Breaches_after  = P_residual × N
Accounts_saved  = Breaches_before − Breaches_after

6. Annual cost savings:

Cost_saved = Accounts_saved × Cost_per_breach

Assumptions & References

  • MFA effectiveness values are drawn from Microsoft Security research (2019): SMS-based MFA blocks ~96% of automated attacks; authenticator-app / hardware-key MFA blocks ~99.9% of attacks. (Alex Weinert, Microsoft, 2019)
  • Google's 2019 study corroborates: on-device prompts block 99% of bulk phishing and 90% of targeted attacks.
  • Baseline breach probability is organisation-specific; industry averages range from 1% (low-risk) to 20%+ (high-value targets). The Verizon DBIR reports credential theft in ~80% of hacking-related breaches.
  • The blended risk model assumes MFA-protected and unprotected accounts are independent and that attackers do not preferentially target unprotected accounts (conservative estimate).
  • Cost per compromised account includes incident response, user remediation, and productivity loss. IBM Cost of a Data Breach Report 2023 estimates ~$150–$200 per record; per-account costs vary widely.
  • This calculator models annual risk and does not account for multi-year compounding or attacker adaptation over time.
  • References: Microsoft Security Blog (2019); Google/NYU/UCSD study "Protecting accounts from credential stuffing" (2019); Verizon DBIR 2023; IBM Cost of a Data Breach Report 2023.

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