A Data Classification Approach to Information Security – By John DiMarco, Philip Wright, and Steve Butterworth
A Data Classification Approach to Information Security Information Security is vitally important, but it’s very difficult: there is so much data to protect. Clearly not all data can be protected equally: the sheer scale of the task would result in poor protection. It’s better to focus data protection efforts on data of greatest sensitivity. In Arts and Science, we have taken a collaborative data classification approach to Information Security, based on work originally done at Harvard University. We have produced draft security guidelines that identify five different levels of data sensitivity, and provide specific, proportionate recommendations for data security that take into account the sensitivity of each level. In our talk, we will outline our draft guidelines, explain why we made the recommendations we did, and describe how we pulled it all together.