AI-Enhanced Cybersecurity Incident Response: Streamlining Threat Mitigation Through Automation
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Abstract
Effective incident response is crucial for minimizing the impact of cyberattacks, yet many organizations struggle with timely and efficient threat mitigation. This paper presents an AI-enhanced incident response framework that automates key aspects of threat detection, analysis, and response. By integrating machine learning algorithms with security orchestration tools, the framework enables real-time decision-making and streamlines communication among security teams. Case studies highlight the framework's ability to reduce incident response times significantly and improve overall security posture. This research illustrates how AI can transform incident response into a more proactive and efficient process, ultimately leading to more resilient cybersecurity operations.
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