What is Predictive Risk Scoring?
Predictive Risk Scoring augments the application scanning process by helping you prioritize your web assets prior to scanning. It uses AI to calculate risk scores compiled from up to 220 data points that predict the highest severity vulnerability of each discovered website with a minimum 83% confidence level. The assigned risk scores then give you the means to rank your sites and gauge the overall potential risk of your web assets before you scan them. Using this information, you can focus on scanning and fixing your riskiest sites first to make your web assets and organization safer.
預測風險評分不能取代掃描 Web 資產是否有漏洞。 即使風險評分為中或低的站點仍然可能存在漏洞，並且仍然可能存在模型未預測到的嚴重漏洞。 風險評分可讓您深入了解網路資產可能存在的漏洞，幫助您做出明智的決定，確定立即掃描哪些網站以及接下來可以掃描哪些網站。 預測風險評分並不像掃描每個網站那樣徹底，因此需要注意的是， 您需要掃描網站以查找漏洞 。
What is the difference between Predictive Risk Scoring and Scanning?
「預測風險評分」和「掃描」之間有什麼區別？
Predictive Risk Scoring is not a substitute for scanning your web assets for vulnerabilities. Even sites with a medium or low risk score are still likely to have vulnerabilities and could still have critical vulnerabilities not predicted by the model. The risk score gives you insight into the likely vulnerability of your web assets to help you make an informed decision about which sites to scan immediately and which sites can be scanned next. Predictive Risk Scoring is not as thorough as scanning each site, so it is important to note that you need to scan your sites to find vulnerabilities.
預測風險評分並不是掃描您的網站資產以尋找漏洞的替代方案。即使是風險得分中等或較低的網站，仍然可能存在漏洞，而且可能存在模型未能預測的關鍵漏洞。
風險評分可以讓您了解您的網站資產可能存在的漏洞程度，以幫助您決定立即掃描哪些網站，以及哪些網站可以稍後再掃描。預測風險評分不像對每個網站進行掃描那樣全面，因此需要注意您需要掃描您的網站以找出漏洞。