AI-Driven Incident Response in Enterprise Networks: Enhancing Security and Resilience

Abstract

This study explores the role of AI-driven incident response mechanisms in enhancing the security and resilience of enterprise networks. By employing a quantitative and descriptive research design, the study analyzes the frequency and effectiveness of AI responses across various types of security incidents. Data was collected through a simulated enterprise network environment, where a total of 150 security incidents and corresponding AI response actions were recorded. The results indicate that AI significantly accelerates threat detection and mitigation, with automated threat containment and malware detection being the most common AI actions. The findings suggest that AI systems contribute to faster, more accurate incident responses, enabling organizations to effectively address security threats in real time. This research underscores the value of AI in reinforcing enterprise network defenses and reducing reliance on manual interventions.