Having worked in marketing within companies dedicated to security, I have had the privilege to read numerous reports on the struggles organizations face while trying to protect themselves from breaches and insider threats. The conclusions of these reports all point to the same thing: there is no silver bullet!
Most enterprises have made significant investments (money/time/technology/people) to secure their current environment and to foster programs that facilitate a culture of security. So, when asked to modernize your “legacy” security infrastructures or potentially “rip and replace” particular solutions, you find the idea to be inconceivable from a budgetary and skillset standpoint.
Why not, then, enable what you have to work more effectively by adding classification to the information security equation? When your data is properly identified, your downstream solutions can make more informed decisions and report more effectively, while also enabling those broader user security awareness initiatives that are critical to the business.
While data classification can be seen as yet another technology, it actually plays a critical role in connecting the dots across your existing security stack and security awareness programs.
Take, for example, your current DLP solution, whether Symantec, Forcepoint, Intel Security or another. Identifying data sensitivity will optimize your security policies while reducing the number of false positives and event logs burdening your current system, and reduce the workload on the analysts looking after your systems.
Having data classification and discovery in place as part of your current enterprise cloud file sync and share strategy provides visibility and control over the sensitive data which resides both on and off premises, helping to ensure secure cloud collaboration in Box, Dropbox, or OneDrive. Classification metadata provided to cloud access security brokers (CASB) such as Netskope helps to focus on the highest-risk areas and ensure appropriate handling of data in transit to sanctioned cloud apps.
If your concern is ensuring information within your organization is protected before it is shared, then perhaps the missing piece of your enterprise rights management puzzle is data classification. Classification provides the ideal front-end to ERM by automatically protecting information based on classification, content, recipients, and other attributes.
In terms of information governance, classification metadata can also contain retention codes and other attributes not normally applied by the system so that informed decisions can be made about archiving, storage, retention, and deletion. Classification helps your organization comply with government and regulatory requirements for sharing and marking- without resorting to a default policy of “let’s keep everything”.
At the end of the day it is pretty clear that information is a valuable asset. Is your current security ecosystem living up to expectations? If not, can you afford not to look at the impact classifying your data can have on your information protection strategy?