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Enterprise-Specific Privacy Development

The nature and culture of an enterprise business impacts privacy policies and the creation process. For instance, in the United States, the legal approach is often sectorial governed. An example of this is health care in the United States, where the Health Insurance Portability and Accountability Act of 1996 (HIPAA) policies and privacy rules should be incorporated. This type of enterprise will always be extremely open with many third parties, operating in a nonstop high-stakes context (in some cases, life and death). Getting the balance between use, sharing, access, and accuracy will be a supreme consideration. The rights and sensitivities of the data subjects within this context are highly subjective while also the subject of extensive regulation. Although other jurisdictions may not have standalone health data protection statutes, this type of context, and health data specifically, is governed as a protected class—or even an enhanced protected class, as in the European Union, a “sensitive” data class of data worldwide.

A health care-, financial-, or politically sensitive type of context is actually the proving grounds for many other types of businesses. These enterprises require personalization and intimate knowledge of personal information, but also value a certain level of autonomous innovation with data and financial models based on data. Innovating for high-risk data is a bit like the lyrics from the song “New York, New York”: “If I can make it there, I'll make it anywhere.”

A similar illustration can be drawn for financial data in the United States where the Gramm-Leach-Bliley Act requires financial institutions—companies that offer consumers financial products or services like loans, financial or investment advice, or insurance—to explain their information-sharing practices to their customers and to safeguard sensitive data. These types of data are covered by other comprehensive global laws such as the Personal Information Protection and Electronic Documents Act (PIPEDA) in Canada or under the Argentine Data Protection Laws but may not be called out under a specific law or called out as “sensitive” data calling for enhanced protections beyond the comprehensive requirements. The point here is that although not all data is created equal (nor do they call for exactly the same type of privacy policy treatment), personal information should be considered a controlled substance, and close partnerships and legal considerations are certainly necessary before we innovate on top of the foundational policy.

 
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