Hello Machine Learning, Goodbye False Positives
Most DLP systems rely on known terms and patterns to detect sensitive content. In a highly structured environment that can work reasonably well but in the dynamic collaboration world that SharePoint supports that method comes up alarmingly short. We call this the Control + F to find failure. Instead we use advanced Machine Learning techniques to understand the context of your content to deliver a higher degree of accuracy to detect sensitive content.
Reduce Your DLP Administration Workload
It’s not just high false positive rates that cause many DLP systems to be unusable in the real world. Setup and ongoing adjustments is often a full time job. We believe that you should be able to make changes as easily as you can control the temperature in an oven. So that’s what we did. Making adjustments to relative weights and sensitivity levels for sensitive data types is as simple as turning a dial.
Work With, Not Against Your Users
Don’t increase risk by causing users to attempt to circumvent your SharePoint security and governance solution that gets in their way. Get a DLP system that is designed specifically for SharePoint and works seamlessly with how your users currently interact with SharePoint. Encourage safe and compliant collaboration or drive users towards shadow IT to get their jobs done? It’s a one of the easiest SharePoint decisions you’ll ever make.
- SharePoint 2016
- SharePoint Online
- SharePoint 2013 (Server & Foundation)
- SharePoint 2010 (Server & Foundation)
- Windows Server 2003, 2008 or 2012
- SQL Server 2005, 2008 or 2012
- Internet Explorer 8, 9, 10 & 11, Chrome, Firefox
Cyber-attacks against doctors and hospitals cost the U.S. healthcare industry nearly $6 billion in 2015. The reason is simple; patient medical data is almost 10 times more valuable than a credit card number on the Dark Web. Securing that information isn’t just a business decision, it’s a growing financial one as new laws and regulations impose steeper fines on any organization that exposes personal health information.