I recently had the opportunity to author an article for CMSWire focusing on the turbulent relationship between privacy and big data, and how they can coexist in the future.
Despite the increasing number of breaches and growing questions in security, we have not yet seen the real privacy problems that will soon face us. With the growing asymmetry between those who are sending information and those who receive it, creating new frameworks for accountability to ensure that privacy and big data can coexist in the future is crucial.
Predictive Privacy Harms
With the increased demand for big data in modern business, we need to consider the ideas of consent and choice even when examining concepts like predictive privacy harms — situations where companies may not have collected any personally identifiable information.
The key lies in a combination of regulation — from both the government and through the organizations collecting this data — and the power of consumers themselves.
Organizations and government agencies can do more to help protect customers by building a framework based on the Fair Information Practice Principles (FIPP) principles, where data itself is tagged with privacy preferences as it flows between systems, allowing consent to be applied. If we understand what the data is and how it was collected, we can further determine whether or not the subject of the data may establish their preferences at the collection point.
Using new or existing compliance platforms, companies can repurpose their programs and turn previously untapped information into a business asset. The company will see an increase in productivity and stay safely within regulations while creating a quantifiable return on investment for data security and privacy programs.
To read more about avoiding threats and the steps to maintaining content privacy, please visit CMSWire.
To learn how AvePoint can help ensure data security for big data, please visit our website.