The risks of AI-generated code are real — here’s how enterprises can manage the risk

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Not that long ago, humans wrote almost all application code. But that’s no longer the case: The use of AI tools to write code has expanded dramatically. Some experts, such as Anthropic CEO Dario Amodei, expect that AI will write 90% of all code within the next 6 months. Against that backdrop, what is the impact for enterprises? Code development practices have traditionally involved various levels of control, oversight and governance to help ensure quality, compliance and security. With AI-developed code, do organizations have the same assurances? Even more importantly, perhaps, organizations must know which models generated their AI code. Understanding where code comes from is not a new challenge for enterprises. That’s where source code analysis (SCA) tools fit in. Historically, SCA tools have not provide insight into AI, but that’s now changing. Multiple v ... Read full article.