Calculating financial loss to the business if an application were compromised and showing the decrease in value at risk associated to the remediation of a given vulnerability.
Improved timeliness of action by automating the delivery of personalized and prioritized vulnerabilities to line-of-business application owners responsible for remediation.
Reduced regulatory risk by identifying the severity of the risk exposure of regulated IT assets that could cause a compliance violation.
Improved decision making by combining security tool data with business context to provide a complete view of risk mapped to the business value of IT assets.
Reduced costs through algorithm-based behavior analytics that reduce the time-consuming and error-prone manual intervention historically required to identify the most important risks for practitioners to address.