Integrating Artificial Intelligence for Enhanced Data Security and Privacy

It is now crucial to preserve digital data in our ever-connected environment.Using watermarking, cryptography, sharing, and artificial intelligence (AI) capabilities, this article investigates a unified approach to data security and privacy.covert.These technologies are becoming more and more integrated as we create cutting-edge solutions to safeguard private data, maintain intellectual property, and enhance safe data sharing.Our study starts with the use of AI in watermarking, demonstrating how AI-based watermark generation, detection, and removal can improve the security of digital assets.Next, we turn to cryptography, where AI advances secure data transfer, key management, and encryption techniques.Additionally, approaches for sharing secrets are included, showing how AI optimisation enhances collaborative machine learning, safe multi-party computation, and distributed data sharing.Use cases and realworld examples that demonstrate the possible integration of AI with watermarking, cryptography, and secret sharing bolster the suggested unified approach.Among the real-world applications being investigated are multi-factor authentication, blockchain, secure authentication, and privacy-preserving machine learning.The paper discusses the difficulties and moral issues of AI-based data security while outlining these methods.It also offers a roadmap for further study and advancement, emphasising the necessity of constantly adjusting to new risks and technological advancements in the dynamic field of digital security.This study paper adds to a thorough grasp of sophisticated data security strategies and offers important insights into the changing cybersecurity scene by combining AI with watermarking, cryptography, and secret sharing.