內容簡介
FraudRadar 是一個平台，可協助您在電子商務平台上篩選任何垃圾郵件帳戶的註冊/登錄/購買，以節省您的時間。
垃圾郵件帳戶會阻礙您專注於系統中實際的客戶，降低市場營銷和數據庫管理的效率。讓 FraudRadar 幫助您消除系統中的垃圾郵件帳戶，以增加有效的市場營銷，刪除垃圾郵件和可能出現的詐騙付款。
此外，您可以通過提交操作的詳細信息（付款、帳單/運送詳情更改、您的業務中的任何主要定制操作）來跟踪任何詐騙行為，以便 FraudRadar 檢查客戶的詐騙得分。這樣您就可以將操作標記為審查或直接通過驗證規則拒絕。
您可以創建規則來決定如何計算風險分數。每個企業都有自己的垃圾郵件/詐騙需求，您可以使用 FraudRadar 規則來制定簡單或復雜的規則集，以決定哪些操作需要審查，哪些操作需要拒絕。 FraudRadar 將幫助您專注於您的業務，而不是每天的互聯網世界問題。
您可以通過使用我們的 SDK、外掛和 API 獲取垃圾郵件/詐騙評分系統的訪問權限。我們支持多個知名 CRM 系統和電子商務平台。對於這樣的情況，只需下載和啟用該插件，讓 FraudRadar 做她最擅長的事情：篩選垃圾郵件和詐騙行為。
利用機器學習技術，可以通過檢查電子郵件是否有異常的命名規則、檢查 IP 操作、檢查電子郵件和姓名是否匹配來標志邮箱。查看我們浪費的數據庫中的現有垃圾郵件簽名，讓 FraudRadar 預測得更好。
請查看我們的網站https://www.fraudradar.io 以獲取詳細信息。
更多信息
註冊免費帳號並獲取您的 API 金鑰https://app.fraudradar.io/auth/register，並試用 FraudRadar 服務。
外掛標籤
開發者團隊
原文外掛簡介
FraudRadar is a platform to assist you to filter any spam account registration/login/purchase on e-commerce platform to save your time.
Spam Accounts prevent you from focusing on the actual customers you had in your system. It decreases the efficiency of marketting and database management. Let FraudRadar help you eliminate spam accounts in your system to increase effecient marketting, removing spam entries and potential fraud payments that will come later on.
Additionally, you can track any fraud action by submiting details of the action (payment, change in billing/shipping details, any major custom action in your business) to FraudRadar to inspect the fraud score of the customer. That way you can flag the action for review or you can directly reject by the validation rules.
You can create rules to decide how risk score will be calculated. Each business has its own spamming/fraud needs, and you may use FraudRadar rules to make simple or comlicated set of rules to decide which action will be reviewed and which action will be rejected. FraudRadar will help you to focus on your business instead of daily problems of internet world.
You can benefit from our SDK, plugins and API to access spam/fraud scoring system. We support several well known CRM systems, e-commerce platforms for you. For such cases you just download and activate the plugin and let FraudRadar do what she knows best: Filtering the spammers and fraud actions.
Machine Learning is used to flag emails that has unconventional naming convension, inspect IP actions, email&name matching to decide if an activity is potentially spam. Inspecting existing spam signatures in our wast database, lets FraudRadar forecast better.
Please check our website https://www.fraudradar.io for details.
More Information
Signup for a free account to get your API Key https://app.fraudradar.io/auth/register and try out FraudRadar services.
