Adaptive Trust Engineering: AI-Driven Full-Stack Mechanisms for Privacy, Compliance, and Data Quality

Abstract

The advancement of full-stack development frameworks has transformed the software development domain, facilitating the seamless integration of front-end and back-end operations. As dependence on web and mobile apps grows, security and compliance have emerged as essential priorities in framework design and deployment. This analysis analyses advancements in full-stack development frameworks, highlighting their security and compliance approaches to tackle contemporary issues like as data breaches, unauthorised access, and regulatory non-compliance. The research examines notable full-stack frameworks, such as MEAN (MongoDB, Express.js, Angular, Node.js), MERN (MongoDB, Express.js, React, Node.js), and Django, emphasising their intrinsic security attributes. This encompasses strong authentication methods, encryption standards, and protection against prevalent attacks like as SQL injection, cross-site scripting (XSS), and cross-site request forgery (CSRF). The evaluation examines compliance models integrated into these frameworks, emphasising their adaptation to international standards like as GDPR, HIPAA, and PCI DSS, which regulate data privacy and security. Emerging trends include the utilisation of artificial intelligence (AI) for anomaly detection, serverless architecture to minimise attack surfaces, and blockchain technology to improve data integrity. The implementation of DevSecOps methods in full-stack frameworks has enhanced the integration of security measures throughout the development lifecycle, proactively reducing risks. This thorough assessment highlights deficiencies in existing frameworks, including inadequate support for real-time compliance auditing and difficulties in scaling security measures for extensive systems. Future research recommendations involve improving framework modularity to integrate advancing security technologies, utilising AI for predictive threat modelling, and guaranteeing alignment with new compliance requirements. This review provides a comprehensive analysis of current and developing security and compliance frameworks, serving as a vital resource for developers, researchers, and organisations seeking to improve the reliability and trustworthiness of full-stack applications in a progressively digital and regulated landscape.