The scale of vulnerabilities identified in large organizations in today’s threat landscape has made the practice of managing them a seemingly endless challenge. Traditional vulnerability management programs tend to adopt an “everything is a risk” approach which leads to frustration among IT remediation teams to remediate an exponentially increasing pool of vulnerabilities many of which do not pose a real risk to the organization.

Instead of using arbitrary methods to prioritize remediation organizations should refine their remediation methods to enrich vulnerability data with business context, threat intelligence, data science, and machine learning to prioritize vulnerabilities that are most likely to be exploited thereby causing the most harm to a given organization. This requires vulnerability management programs to use more accurate methods of assessing risk to keep pace with evolving threats.

Leverage dashboards with prioritization data to review organizational risk posture with near real-time visibility.