Securing AI at the Source: The Rise of Static Analysis for LLM Prompts

While most LLM security focuses on real-time monitoring, critical vulnerabilities often originate in the developer's source code. By applying SAST principles to prompt strings, teams can proactively catch jailbreak-susceptible patterns and misconfigurations before deployment, shifting security 'left' in the AI development lifecycle.