AI-Powered Big Data and ERP Systems for Autonomous Detection of Cybersecurity Vulnerabilities

Abstract

This essay discusses the importance of AI-powered big data and ERP systems for the autonomous discovery and detection of cybersecurity vulnerabilities, for securing information from cyberattacks, and for preventing security breaches. Given that privacy is the fundamental principle for data-driven businesses, the rising relevance and effectiveness of advanced technologies become critical. The proposed concept explains the need for the mentioned technologies and the principles and mechanisms of their integration. This discussion is followed by an analysis of the direct implications of these concepts on regulatory requirements. The outcome of the project can be used to provide deep insights into the industry, define research directions for the near future, and guide further technological developments. The relevance of AI, big data, and ERP systems represents essential technological assets for enhancing cybersecurity solutions to ensure advanced protection from data breaches. On the other hand, AI-powered techniques also represent strong instruments for threat actors, valuable tools for creating zero-day attacks. This paper discusses AI-powered big data solutions and ERP systems as enablers for the autonomous discovery and identification of cybersecurity vulnerabilities. The way they are integrated and the results in terms of efficiency represent the core topics. The first part of the research presents the identified need for AI-powered big data and ERP systems and their incorporation as a key asset. Their underlying principles and mechanisms to create a highly secure environment with additional protection and privacy in today's ever-changing, complex, and digitalization-driven industries are suggested. The concept presents the implications in terms of regulatory requirements. The concept's proposed goal of convergence between AI-powered big data and ERP systems defines the last section of the project.