论文标题
通过人工智能的自动合规性蓝图优化
Automated Compliance Blueprint Optimization with Artificial Intelligence
论文作者
论文摘要
对于诸如银行和医疗保健等高度监管的行业，采用云计算的主要障碍之一是遵守监管标准。由于公司需要遵守的许多监管和技术规范（TechSpec）文件，这是一个复杂的问题。关键的问题是建立TechSpecs和法规控制之间的映射，以便从第一天起，公司就可以以最少的努力遵守法规。我们证明了一种使用人工智能（AI）技术自动分析监管标准的方法的实用性。我们提出了早期的结果，以确定TechSpecs和监管控制之间的映射，并讨论该解决方案必须完全实用的挑战。
For highly regulated industries such as banking and healthcare, one of the major hindrances to the adoption of cloud computing is compliance with regulatory standards. This is a complex problem due to many regulatory and technical specification (techspec) documents that the companies need to comply with. The critical problem is to establish the mapping between techspecs and regulation controls so that from day one, companies can comply with regulations with minimal effort. We demonstrate the practicality of an approach to automatically analyze regulatory standards using Artificial Intelligence (AI) techniques. We present early results to identify the mapping between techspecs and regulation controls, and discuss challenges that must be overcome for this solution to be fully practical.
