Mr. Satyanarayana Raju

AI-Driven Vulnerability Management: Enhancing Detection and Remediation

Abstract:

Traditional vulnerability management struggles with scalability, alert fatigue, and delayed remediation. AI-powered tools automate risk assessment, provide context-aware insights, and enable proactive mitigation. By integrating AI into security workflows, organizations can enhance detection, reduce false positives, and streamline remediation, transforming vulnerability management into a predictive and efficient cybersecurity framework.