Regardless of the data types, in order to protect this sensitive data from insider threats (and outside, frankly), it is imperative for an organization to have as much knowledge of its data as possible. That means not just which data it is, but where it is, how it is used -- within and outside of the organization -- and the potential consequences if it were to become lost or stolen.
All that said, however, I do not support the idea of needing to know everything about sensitive data before taking steps to protect it. To the contrary, I stand firmly on the side of action, always assuming an organization and executive team know enough about the data to take effective protective measures. This is a delicate balance. On one hand, an organization may want to fully understand its data prior to deploying expensive data protection technologies. On the other hand, if the process of understanding the data is a multiyear project, the critical data may be subjected to unnecessary risk in the meantime.
So how does an organization maintain the right balance? For the sake of sensitive data, it is always prudent to take immediate action on the data already known to be the most critical. This could be, for example, the intellectual property of a technology company. Employing technologies in the short term to safeguard this intellectual property is the first and most important step. Once the most critical data is secured, the organization can then focus attention on identifying other sensitive data types. This could include data such as HR and employee data, which, in many cases as consumer PII, is subject to data breach notification laws in all but a handful of U.S. states.
Finally, a sensitive data review is always recommended. This process can be as simple or comprehensive as judged necessary. All data owners in an organization should be involved to ensure no sensitive data is overlooked. Each data set can be analyzed to map out approved handling procedures and identify any holes, determine appropriate storage locations, confirm approved data handlers, establish the correct process for breach response for that specific data, gauge the probable impact of data loss, and apply a risk ranking so the organization can know which of the sensitive data types have the greatest potential for collateral damage.
Armed with this newfound knowledge, an organization can protect all sensitive data, employ data protection tools on new data sets, uncover better data handling procedures, and take other appropriate steps to mitigate data loss risk.
Jared Thorkelson is President of DLP Experts, a reseller of data protection technologies