For years, cybersecurity has operated on "anatomy"—inventories of controls like MFA, patching, and firewalls. But simply having a list doesn’t tell you if your program is healthy. We’ve lacked a way to understand the "physiology": how these controls actually work together to stop a breach. Enter FAIR-CAM™ , the framework that finally puts a number on control efficacy.
Created by Jack Jones (author of the FAIR standard), FAIR-CAM™ is an extension of traditional risk quantification. It categorizes controls based on their actual function: FearCAM
Traditional security dashboards often use subjective "Red/Yellow/Green" scores. FAIR-CAM™ enables Empirical Measurement . By mapping your telemetry to this model, you can: Enter FAIR-CAM™ , the framework that finally puts
: Use existing frameworks like NIST 800-53 or ISO 27001 more effectively by understanding the why behind the requirements. FAIR-CAM™ enables Empirical Measurement
: Identify which controls provide the highest ROI in risk "burndown".
Below is a draft blog post structured for a professional or technical audience (such as CISOs or risk managers) who are adopting this model.
: Directly affect the frequency or magnitude of a loss (e.g., MFA ).