Pynt's GenAI Application Security Report reveals a significant gap between the widespread adoption of AI technologies and the implementation of security measures, highlighting that while 98% of surveyed organizations are integrating large language models (LLMs) and many are deploying machine-centric processes (MCPs) in production, a notable portion are lagging behind in securing these systems. The survey, conducted among 250 engineering and security leaders across North America and Europe, indicates that security concerns are the primary barrier for the minority who have not yet adopted AI, with API security emerging as the top priority for future application security efforts. As AI becomes essential infrastructure, the report underscores that organizations are rushing to integrate these technologies into customer-facing applications without adequate security, thus shifting risk rather than managing it, and points out the architectural shift that renders traditional security measures insufficient for the dynamic, API-driven environments AI creates.