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由于有如此多的组织都直接使用生产库中的数据来生成他们的测试环境,这样就造就了非生产数据成了黑客们首要盯上的敏感信息目标。
由于非生产数据和测试数据往往要比生产数据容量上多好多倍,所以这也就增加了被攻击的风险
同时这些数据又往往疏于被加密保护,敏感的测试数据不仅仅暴露在外部攻击者眼前,也面临被例如内鬼测试人员、顾问和软件开发人员用于牟利的可能。
满足数据安全审计目标
今天从Solix EDBMS标准版Data Masking开始
Sensitive data (such as credit card numbers), personally identifiable information (such as U.S. Social Security numbers), medical diagnoses, and even non-personal sensitive data (such as corporate financial information and intellectual property) are exposed to abuse or negligence from enterprise employees and outsiders. Adopting data masking will help enterprises raise the level of security and privacy assurance against insider and outsider abuses. At the same time, data masking will make enterprises compliant with the security and privacy standards recommended by regulating/auditing organizations.
JOSEPH FEIMAN, PH.D. RESEARCH VP AND GARTNER FELLOW
GARTNER
Reference: Hype Cycle for Application Security 2012, 20 July 2012 – Doc # is G00229119