## AI and vulnerabilities in code The adoption of AI-based coding tools is becoming increasingly widespread in software development. While this leads to increased efficiency, concerns are emerging regarding security. A recent case highlighted how a honeypot, developed using AI-generated code, revealed hidden vulnerabilities. This raises questions about the actual impact of automation on the security of the code produced. ## Implications for security The speed at which machines can generate code does not always translate into secure code. Development teams must carefully consider the risks associated with using automated coding tools, assessing the potential accumulation of "security debt". In the future, it will be essential to balance the benefits of automation with the need to maintain high security standards in the developed code.