Discover and classify sensitive data to manage risk; protect data and enforce identity-based access for applications and users.

Among the massive volumes of data captured by enterprises is personal information that, if shared without consent or stolen, could lead to loss of trust, brand damage, and penalties from ever-stricter privacy regulations. In the age of digital transformation, this risk exposure is exponentially more dangerous.

With enterprises capturing personal information, health information, and more new classes of sensitive data than ever before, even data that doesn’t appear to be sensitive at face value could be combined with other pieces of data to reveal identity.

A successful privacy framework must be comprehensive, flexible, automated, and transparent. This framework must be able to identify, analyze, govern data and identities, act on data based on policy, and secure data, identities, and applications.