
The rapid ascent of artificial intelligence in software development has revolutionized how code is written, tested, and deployed, promising unprecedented efficiency and innovation. Yet, beneath this transformative power lies a troubling reality: the security risks embedded in AI-driven workflows often go unnoticed until they wreak havoc. As organizations race to integrate AI tools into their pipelines, striking a balance between










