Inside-Out Data Security
Envisioning a new model for data governance that begins and ends at the source of the content.
Enterprises have long chased the holy grail of content security: the ability to auto-detect sensitive data inside files and seamlessly protect it throughout its journey. They’ve applied countless layers of classification, endpoint detection, encryption, access control, and compliance tools. In pursuit of total control, we’ve introduced unsustainable levels of complexity and destroyed the file collaboration experience.
In this session, we’ll explore how a streamlined data governance architecture based on content intelligence can find and secure sensitive data at its source. Applying rules at the data-level and user-level, with ownership over how that data is then shared, reduces complexity and accelerates productivity for users and admins. We’ll showcase how Connected Folders, Content Safeguards, Classification, and selective encryption can work together to create a new model for securing data from the inside-out.