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  • Static Data Desensitization Management (SDM)
    Static Data Desensitization Management (SDM)
    Static Data Desensitization Management (SDM)

Static Data Desensitization Management (SDM)

Module Introduction


Static data desensitization management (SDM) is the fourth function module. SDM supports static data desensitization involving databases, formatted files, database objects, message queues, etc. SDM has built-in 88 desensitization algorithms and 45 sensitive information type making up a matching library. The library Covers personal identity information, organization information, qualification certificate information, financial data information, medical data information, vehicle data information and many other categories of sensitive data type. SDM also supports simulation desensitization. It has generalized general-purpose desensitization rules, including character substitution, random generation, truncation, weighted generation, encryption, etc. It supports simulated desensitization rules that retain the meaning of the original data, supports Chinese dictionary database and coded dictionary database, and ensures the validity and availability of the desensitized data such as name, ID number, certificate number, address, organization code, etc. SDM provides internal desensitization based on database and extraction desensitization based on ETL process, which can meet various desensitization needs.



功能(néng)特點:


ADM構建的雙重數據脫敏模式在行業内具有領先地位,在保證脫敏性能(néng)優勢的前提下,兼容通用關系型數據庫、分布式數據庫、文本文件的脫敏,支持不同數據庫間的異構脫敏,支持FTP和SFTP的遠程文件脫敏,支持即時(shí)與定時(shí)脫敏,支持Windows/Linux/Unix等操作系統平台,支持IPV4/IPV6網絡協議脫敏,提供靈活的脫敏策略參數設置及定制化開(kāi)發(fā)脫敏規則。

ADM的數據脫敏引擎既可以封裝在敏捷數據管理流程的中間環節,也可以單獨作爲敏感數據處理的抽取系統,兩(liǎng)種(zhǒng)模式滿足了當前用戶對(duì)數據脫敏處理的全部需求。

  • 數據備份價值優勢
    周期增量備份與全量快照合成(chéng),保證全量數據的時(shí)效性
    快速恢複驗證備份數據的可恢複性、有效性
    業務應急接管,實現容災恢複最佳的RTO與RPO
  • 備份數據自動化恢複校驗價值優勢
    備份數據恢複資源管理集中統一
    備份數據使用簡單高效
    備份數據恢複有效性驗證自動化
    盤活備份數據實現跨平台恢複
  • 測試數據交付與版本管理價值優勢
    測試數據多副本快速交付
    測試數據存儲壓縮節約成(chéng)本
    數據版本管理靈活滿足回歸測試等場景
    數據管理流程集中統一
    數據拓撲結構可視化
    測試數據高可用性
  • 靜态數據脫敏價值優勢
    安全脫敏降低數據洩露風險
    豐富的脫敏算法仿真脫敏
    自動化脫敏流程滿足安全監管要求
    數據脫敏後(hòu)邏輯保持一緻
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