Abstract: As manufacturing keeps changing fast, staying on top of industry regulations like ISO 27001, NIST, and GDPR is super important for solid security practices. This paper introduces a fresh way to automate security audits for manufacturing companies, emphasizing continuous compliance through automated auditing tools. These tools blend security frameworks with advanced AI systems to carry out real-time assessments of manufacturing environments, spot security vulnerabilities, and create thorough compliance reports. By using AI and automation, our system allows for quick fixes to security gaps without any manual work, helping manufacturing organizations stay compliant with strict regulatory standards. Our research shows how automated auditing can cut down on operational costs, minimize compliance risks, and bolster security in manufacturing, all while keeping up with efficiency and regulatory demands.
Keywords: Digital Twins, Security Automation, Anomaly Detection, Manufacturing Systems, Real-Time Monitoring, Machine Learning, Threat Intelligence, Automated Lockdown, Cybersecurity Framework, Continuous Learning, Isolation Forest, Edge Computing, SIEM Integration, SOAR Platforms.
Title: Autonomous Security Audits for Manufacturing Compliance
Author: Abhilash Kamtam
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
Vol. 13, Issue 3, July 2025 - September 2025
Page No: 127-135
Research Publish Journals
Website: www.researchpublish.com
Published Date: 28-July-2025
