Why Your Security Champions Aren't Engaging

Overview

Most Security Champion programs struggle to measure success beyond phishing click rates. Traditional metrics like training completion or certification counts fail to capture what actually drives champion effectiveness. The Fogg Behavior Model provides a diagnostic framework that identifies the real barriers: whether champions lack motivation, ability, or environmental prompts to act. This assessment applies BJ Fogg's research from Stanford's Behavior Design Lab to Security Champion programs. By measuring each behavioral dimension independently, organizations can move from guesswork to targeted interventions.

The Challenge

Traditional Security Champion programs focus heavily on training and certification, yet still see low engagement and high dropout rates. The missing piece is understanding behavior: champions may want to participate (Motivation), but lack the time or skills (Ability), or simply forget without reminders (Prompt). Without addressing all three factors, even well-designed programs fail to create lasting behavioral change. Knowledge alone is insufficient. People need the right conditions to act.

The Approach

Security Champion programs are fundamentally about sustained voluntary behavior, not one-time compliance. Champions must repeatedly choose to engage with security work alongside their primary responsibilities. The Fogg Behavior Model captures this reality by recognizing that behavior requires three elements to converge: the champion must want to act (Motivation), be able to act (Ability), and be reminded to act (Prompt). Traditional programs address only one element, typically Ability through training. But a champion with excellent skills will still disengage if they lack manager support (Motivation blocker) or never receive reminders (Prompt blocker). The assessment identifies which specific element is missing and provides targeted solutions for each profile.

The Outcome

The goal is a sustainable Security Champion program that strengthens your human firewall and accelerates technical security improvements. By diagnosing behavioral barriers, organizations can ensure champions actively contribute to reducing attack surface through code reviews, security testing advocacy, and incident response support. Champions receive personalized insights explaining their behavioral profile and specific conversations to have with their managers. Program administrators gain visibility into where their champion population needs support. This bridges the gap between behavioral science and practical security outcomes.

Key Highlights

• •16 question assessment based on the Fogg Behavior Model (B = MAP)
• •12 behavioral profiles including Star Champion, Frustrated Champion, and Disengaged
• •Personalized recommendations with specific conversations to have with managers
• •Evidence based interventions tailored to each behavioral bottleneck
• •Privacy focused: responses processed server-side but never stored