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Metrics & Measurement
January 5, 2025
PhishFirewall Team

Defining the Human Risk Score: Beyond Click Rates

Why phishing click rates are a misleading metric. Learn how to calculate a true Human Risk Score using API signals, behavioral history, and security culture data.

For a decade, the "Phish Prone Percentage" (Click Rate) has been the gold standard. It’s time to retire it. A low click rate on an easy template doesn't mean you're secure. A high click rate during a difficult simulation doesn't mean you're failing.

Why Click Rates Fail

  • Volatility: One hard campaign can spike the rate, causing panic.
  • Context-Free: It ignores who clicked. A click from a reception desk is bad; a click from a Domain Admin is catastrophic.
  • Reactive: It only measures failure, not resilience.

The Modern Human Risk Score

A comprehensive Human Risk Score acts like a credit score for cyber behavior. It aggregates data from multiple sources:

1Behavioral History

Past simulation performance and training completion.

2Role Criticality

Does this user have Admin rights? Access to PII?

3Real-World Events

Data from API connectors (e.g., did they disable MFA?)

4Exposure

Is their email on the dark web?

How to Use the Score

Dynamic Policy: Automatically trigger stricter MFA for users with scores below 600.
Targeted Intervention: Assign 'remedial coaching' only to the riskiest 10%.
Board Reporting: Show the trend of risk reduction, not just activity.

Move beyond compliance. Learn about Autonomous HRM.

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