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Data processing systems for identifying, assessing, and remediating data processing risks using data modeling techniques

机译:用于使用数据建模技术识别,评估和修复数据处理风险的数据处理系统

摘要

In various embodiments, a Data Model Adaptive Execution System may be configured to take one or more suitable actions to remediate an identified risk in view of one or more regulations (e.g., one or more legal regulations, one or more binding corporate rules, etc.). For example, in order to ensure compliance with one or more standards related to the collection and/or storage of personal data, an entity may be required to modify one or more aspects of a way in which the entity collects, stores, and/or otherwise processes personal data (e.g., in response to a change in a legal or other requirement). In order to identify whether a particular change or other risk trigger requires remediation, the system may be configured to assess a relevance of the risk posed by the risk and identify one or more processing activities or data assets that may be affected by the risk.
机译:在各种实施例中,数据模型自适应执行系统可以被配置为采用一个或多个合适的动作以考虑到一个或多个规则(例如,一个或多个法律法规,一个或多个绑定公司规则等)来修复所识别的风险。 )。例如,为了确保遵守与个人数据的收集和/或存储相关的一个或多个标准,可能需要一个实体来修改实体收集,存储和/或的方式的一个或多个方面否则处理个人数据(例如,响应法律或其他要求的变更)。为了识别特定变化或其他风险触发是否需要修复,可以将系统配置为评估风险所带来的风险的相关性,并确定可能受风险影响的一个或多个处理活动或数据资产。

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