This study focuses on stitching together AI and Zero Trust Architectures to make software engineering even safer. It emphasizes how artificial intelligence really makes us stronger at sniffing out threats, authentication, and access, and explains database management systems (DBMS), data warehouses and data mining play their part in bolstering overall security. This study reviews past research to show how AI tools and data-focused methods improve threat detection, authentication, and access control. It also suggests practical ways to apply Zero Trust in software development. Unlike Zero Trust, traditional security models rely on network trust, making them more vulnerable to insider threats and advanced attacks.
Zero Trust Architecture, Secure Software Engineering, Artificial Intelligence, Cybersecurity, Threat Detection, Access Control, Micro-Segmentation, Database Management Systems, Data Warehousing, Data Mining.