AI And ML Applications In Big Data Analytics: Transforming ERP Security Models For Modern Enterprises

Abstract

In the age of digital transformation, enterprises run on big data, and it is very difficult to provide security for big data stored in various computer systems. Irrespective of different security measurements available, organizations encounter many security breaches. Security breaches in big data analytics can also impact the organization in terms of reputation, availability, integrity, cost, and trust. Hence, it is necessary to improve enterprise resource planning systems' security model in the area of big data to enhance an organization’s reliability, survivability, and robustness. Artificial Intelligence and Machine Learning enhance data security management by improving and detecting security policies, attacks, vulnerabilities, and addressing various security challenges. Thus, it can improve ERP security models that are based on big data analytics. These AI and ML applications can provide a clear direction to transform traditional ERP into AI-based next-generation ERP. The time has arrived for enterprises to identify various applications and uses of Artificial Intelligence and Machine Learning in big data analytics. Various security aspects of using AI and ML techniques in big data are discussed. This also includes a detailed step-by-step future approach to integrating AI and ML advancements in managing security risks. The AI town concept and the concept of Big Data Intelligent Security Analysis to transform the ERPs, along with key AI and ML technologies, are also mentioned. The conclusion section includes, among others, our findings on how the combination of AI and ML is useful to vary the way in which contemporary enterprises currently approach security practices.