THREAT ONBOARDING AND RESPONSE (TOR): AUTOMATING CYBERSECURITY IN ENTERPRISE NETWORKS

Abstract

The Threat Onboarding and Response (TOR) framework is an innovative approach to enhancing cybersecurity in enterprise networks, moving beyond traditional perimeter-based security models. Focusing on cloud and hybrid environments, this study explores the use, challenges, and effectiveness of TOR in modern business settings. TOR addresses critical security threats by automating threat onboarding and response, with an emphasis on real-time detection, continuous monitoring, and incident response. This report examines the obstacles businesses face in implementing TOR, such as high costs, integration complexities, and resistance to change, by reviewing relevant literature and analyzing case studies. It also identifies strategies employed by organizations to overcome these challenges, leading to improved security and operational efficiency. The findings highlight how TOR’s automation and proactive monitoring can significantly reduce security risks. While adopting TOR presents certain technological hurdles, the study concludes that the framework is essential for establishing a resilient security posture. Future research could investigate the role of AI and machine learning in advancing TOR capabilities.