Legacy VM programs are highly reactive in nature — and therefore inefficient, interrupt-driven, and error-prone. So, to make the best use of their limited security and IT resources, organizations are beginning to adopt a risk-based VM strategy, instead. Unlike legacy methods, risk-based VM is proactive and strategic, so teams can focus on remediating the vulnerabilities that pose the most risk to the organization — therefore enabling them to maximize their efficiency and effectiveness.
By determining vulnerability severity, threat actor activity, and asset criticality, security teams can accurately quantify the organization’s true risk. Machine-learning analytics automate this process to provide immediate and accurate answers. The result of this analysis enables security teams to focus on the vulnerabilities and assets that matter most, so they can address the organization’s true business risk instead of wasting their valuable time on vulnerabilities that have a low likelihood of being exploited.
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