International Journal of Science, Engineering and TechnologyAuthors: Yuvika Priyadarshini, Raunak Srivastava, Rajesh kumar
Abstract: This paper explores the transformative impact of Artificial intelligence on data security and secrecy. It is firstly begun by introducing the basic concepts and the significance of data security and secrecy, followed by a conversation about conventional methodologies and their associated shortcomings. Moving forward, the centre point of this discussion revolves around how AI with its automation and anomaly identification capabilities is transforming this field. Using definitions, case studies, and in-depth analysis, the paper relate the different aspects of forecasting analytics, natural language processing, machine learning, as frequent aspects of AI applications on strengthening protection mechanisms for data. Subsequently, the paper presents practical examples of real-world applications in banking and health care to give an insight on how AI can be integrated into the security system, along with lessons learnt from such incorporation. A brief examination of the ethical concerns, where despite the immense benefits that may be derived from AI there is a significant concern on potential biases, surveillance energy as an issue secondly and finally data handling issues is performed to have a comprehensive understanding of AI. The conclusion restates the main points discussed, underlining the significance of AI in progressing data security and secrecy and encourages further research and development. The purpose of this paper is to present a comprehensive overview of the main aspects surrounding AI, highlighting the common state and potential of this technology in terms of safeguards against emerging threats, ethical application, and concrete solutions that may be developed to secure the digital future.
