Thesis Defense: Validating XAI, Gamification, and Local-First Architecture
Today marked the culmination of two years of research and development—I successfully defended my Master's thesis on NestShield: An AI-Powered Cybersecurity Assistant for Non-Technical Users before my committee at Full Sail University.
Research Validation
The defense validated three core hypotheses through a pre-post intervention study with 42 participants (N=25 completers), demonstrating that the convergence of explainable AI, gamification, and local-first architecture effectively improves security literacy.
+54.2%
Ransomware Understanding75%
Voluntary Remediation6.4/7
Trust ScoreKey Finding: XAI-driven education significantly improved security comprehension, with the largest gains in complex concepts like ransomware (33.3% → 87.5%). Gamification mechanics achieved a 75% voluntary remediation rate. Local-first architecture built exceptional user trust (6.4/7), with 93% preferring local processing over cloud alternatives.
What's Next
Phase 1 (proof-of-concept) is complete. The research validates that the approach works. Now begins the 12-18 month journey to production: web-based deployment, assisted remediation implementation, scale validation with N=100+, and ultimately commercial launch.