As indicated by sources like vulndb & cve, on a daily basis, approximately 50 new vulnerabilities become known to industry and it’s safe to assume that count is going to increase furthermore. It’s a huge number of vulnerabilities to assess and remediate effectively and quickly. So today organizations are focusing (or should focus) on reducing the risk rather than eliminating it and vulnerability management is (almost) equal to risk prioritisation and risk is a variable and dynamic concept determined by multiple factors.
Theoretically, the approach of considering factors like base CVSS, asset accessibility, criticality, exploit availability, business sensitivity etc. looks appropriate to adopt but it’s not practically possible to do it manually for every vulnerability affecting every asset by every organization.
Goals & Philosophy
To overcome above challenges, vPrioritizer is designed with primary objectives as below:
How It Works?
vPrioritizer gives us ability to assess the risk on different layers such as (and hence comprehensive control on granularity of each of risk as described above in risk calculation section):
vPrioritizer enables us to understand the contextualized risk pertaining to each asset by each vulnerability across the organization. It’s community based analytics provides a suggested risk for each vulnerability identified by vulnerability scanners and further strengthens risk prioritization process. So at any point of time teams can make an effective and more informed decision, based on unified and standardized data, about what (vulnerability/ties) they should remediate (or can afford not to) and on which (asset/s).
QuickStart
DEMO
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