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Introduction: The AI Revolution Every Developer Wanted, and the Security Challenge Nobody Expected
Artificial intelligence has rapidly transformed software development from a manual and time-intensive process into an increasingly automated and accelerated workflow. Across enterprises worldwide, AI coding assistants have become indispensable tools, helping developers write code faster, reduce repetitive tasks, and accelerate software releases. For executives, the numbers appear overwhelmingly positive: productivity is rising, deployment cycles are shrinking, and engineering teams are producing more software than ever before.
Yet behind this success story lies a growing concern that many organizations are only beginning to understand. The faster developers generate code with AI, the more pressure is placed on security teams, quality assurance processes, and governance frameworks. What initially looked like a revolutionary productivity breakthrough is now revealing a second reality: AI may be speeding up software creation, but it is also introducing new risks that traditional security practices struggle to manage.
A new report from Black Duck, based on a survey of 831 software engineers and DevOps professionals conducted in March 2026 alongside research partner UserEvidence, highlights a critical turning point for the software industry. The question is no longer whether AI coding assistants improve productivity. The question is whether organizations can safely govern the massive volume of AI-generated code entering production
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