Cybersecurity Automation: Leveraging AI and RPA for Threat Detection and Response

Abstract

As cyber threats grow in scale and sophistication, organizations are increasingly relying on automation technologies such as Artificial Intelligence (AI) and Robotic Process Automation (RPA) for threat detection and incident response. This paper explores the impact of automation in cybersecurity, focusing on how AI models enhance threat intelligence, identify vulnerabilities, and respond to attacks in real time. Case studies demonstrate the effectiveness of AI-powered cybersecurity frameworks across industries. Additionally, the research outlines best practices for balancing automation with human oversight and highlights challenges such as interoperability and compliance. The paper concludes with recommendations for implementing AI and RPA in cybersecurity frameworks to improve resilience against evolving threats.