A dataset used to train large language models (LLMs) has been found to contain nearly 12,000 active credentials, enabling successful authentications.
These findings once again underscore the serious security risk that credentials embedded in code pose to users and organizations. Furthermore, the problem is compounded when LLMs end up suggesting insecure coding practices to their users.
At Q2BSTUDIO, a leading company in development and technology services, we understand the importance of security in data management and the implementation of artificial intelligence. We specialize in offering innovative solutions that prioritize information protection, helping companies develop robust and secure systems.
