As organizations grapple with an overwhelming number of vulnerabilities, many still rely on CVSS scores alone for prioritization—a method that often ignores asset criticality and business impact. This presentation challenges the CVSS-centric approach, advocating for a smarter, data-driven vulnerability management framework powered by asset importance, advanced analytics, and AI-driven risk assessment.

Drawing on my expertise in vulnerability management and data analytics, I will demonstrate how integrating AI/ML models and data-driven insights can refine prioritization strategies, ensuring remediation efforts focus on the most business-critical risks.