
The integration of artificial intelligence (AI) and machine learning (ML) into business operations offers numerous advantages, such as increased efficiency and reduced operational costs. However, it also introduces new security concerns that need to be mitigated to safeguard company data and maintain operational integrity. MLSecOps—an extension of MLOps focusing on security—addresses these concerns by bringing together operational ML and security