How to Use Absolute DDS to Identify At-Risk Data in Cloud Applications
How to Use Absolute DDS to Identify At-Risk Data in Cloud Applications

The storage of sensitive corporate data on unauthorized Cloud-based applications such as Dropbox, OneDrive, iCloud, and Box can lead to costly data breaches. The average organization uses 841 cloud apps, and nearly all these applications lack enterprise-grade security and compliance features. Given how much corporate data is now stored or shared via cloud apps, the growth in cloud app usage is becoming one of the top risks to data security.

By unmasking the use of Shadow IT applications, organizations can avoid potential insider threats. Better yet, they take a proactive approach on a dangerous security blind spot. As you know, Absolute is taking a strong stance against Shadow IT and the Insider Threat. We’ve released new capabilities to extend Endpoint Data Discovery (EDD) to detect data at risk on endpoints associated with cloud storage applications.

Get all the facts about these features in our new infosheet on How to Use Absolute DDS to Identify At-Risk Data in Cloud Applications. In the infosheet, we share example reports outlining how Absolute DDS:

  • identifies devices with cloud storage software
  • detects devices with at-risk files being stored in the cloud (leveraging customizable rules for what data is considered sensitive)
  • allows you to proactively respond to the presence of at-risk data with remote a Data Delete (including information about how we do this for cloud applications)

Learn more about how you can leverage Absolute DDS technology to help you regain control over your data. Start by educating employees and identifiying threats before they become data breaches. Get started with your free evaluation version of Absolute DDS today.