Paper Title
Revolutionizing Data Security: Synergizing Artificial Intelligence And Biometrics for Robust Face Spoofing Detection

Abstract
Abstract - In the recent years, a growing demand for information security and security rules all across the world is growing rapidly. The organization now realized that data is a major resource in the digital world. They want the security devices to safeguard the important data. All the businesses are persistently looking for more preferable selection to traditional security models. With the adoption of Artificial Intelligence in the security model, it will help to develop the data-driven security protocols. Using the Biometrics and Artificial Intelligence can help to advance the security model. The password and ID based security system does not come out to be totally helpful and they will serve us to protect data integrity and privacy, and supports the well-organized data access and collaboration. The Artificial Intelligence system certainly minimize the error events and this will be considered to be a most effective technology to ensure safety among the user. Artificial intelligence (AI) and biometrics have the potential to revolutionize a variety of industries, including healthcare, financial services, law enforcement, and customer service. The use of biometrics in AI, however, also presents a number of difficulties, including problems with accuracy and reliability, data privacy and security issues, system integration, user adoption, biases, and legal and ethical considerations. To overcome these obstacles, thoughtful planning, stakeholder participation, and the implementation of strong data security measures are required to enable the efficient and moral use of biometrics in AI. Keywords - Artificial Intelligence, Biometrics, Security Protocol, healthcare, financial service, law enforcement, customer service, Face Spoofing.