SOFTWARE DEVELOPMENT FOR RAPID RESPONSE TO INFORMATION SECURITY INCIDENTS

This work examines a software development approach for building an accelerated incident response system that aims to counter cybersecurity threats through the marriage of automation and artificial intelligence. The developed framework integrates advanced Security Orchestration, Automation, and Response (SOAR) tools along with real-time monitoring and AIbased threat detection solutions, which result in a significant reduction in both the incident detection and resolution times. A comprehensive analysis finds a significant improvement in major incident response metrics, namely Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR), showing a nearly 60% improvement. The designed computational algorithms and automated response techniques enable the speedy containment of cybersecurity incidents and in turn incur a considerable reduction in both direct and indirect expenses caused by cyberattacks. In addition to this, the economic acceptability of the proposed system is supported through a detailed cost-benefit analysis and the computation of the Return on Investment (ROI), which shows a phenomenal ROI of more than 700%. The findings of this work have serious ramifications for companies aiming to enhance their cybersecurity infrastructures through automated and intelligent incident management systems.