Facial recognition fails in the dark, at distance, and when targets are masked. Motion Analytics is building a different approach — identifying individuals by the way they move. In this episode, Adi Natan, founder and CEO of Motion Analytics, explains how his team combined deep biomechanical research with physically informed neural networks to create a system that generates unique identity signatures from just five walking steps captured on video. We cover how the technology achieves near-95% accuracy where traditional biometrics break down, the pivot from sports analytics into defense and security applications, and real-world use cases spanning border security, VIP tracking, aerial surveillance, and anti-trafficking operations. Adi also walks us through the current pilot programs with law enforcement and defense agencies, deployment flexibility across on-premises and cloud environments, ITAR and GDPR compliance considerations, and the company's strategy for US market entry and partnership development.