Contemporary applications operate in settings that are vulnerable to scrutiny, manipulation, and automation by malicious actors. The rise of AI has further intensified these threats, enabling attackers and freely available AI-based tools to systematically examine, reverse engineer, and exploit vulnerabilities in application logic. Jscrambler addresses this challenge by implementing self-defensive measures for client-side applications, integrating robust code protection with proactive runtime defenses. This ensures that proprietary business logic, authentication processes, algorithms, and AI-generated code are fortified against AI-driven analysis. Runtime defenses actively monitor for and counteract tampering, debugging attempts, code corruption, and unauthorized alterations. Each software build features a unique protection mechanism, increasing the difficulty and cost associated with automated reverse engineering, thereby thwarting attackers from using exposed code as a guide. By embedding protection directly within the code, applications gain the capability to withstand and react to threats in real-time.