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Identifying PII is the first step in securing it
FileFacets' Privacy Compliance enables a user to constantly analyze an organization's stored data in order to identify and work to protect Personally Identifiable Information (PII). Data containing information such as Social Security Numbers, credit card numbers, or other private information that could be used to identify an individual can easily be recognized and securely segregated, or migrated, if necessary.

How can FileFacets help?
Upon scanning various specified sources for PII, relevant data is recognized on ingest and clustered accordingly using FileFacets' Machine Learning Classification. The drag and drop function allows users to classify to a proposed Target Structure so that the appropriate PII can be either be moved to their new secure destination, properly disposed of, or otherwise handled appropriately.

FileFacets is able to take the guesswork out of handling PII without ever compromising your data. Only the metadata ever enters the cloud, leaving your files to move directly and securely from the source to their target.

FileFacets allows you to confidently segregate all personal and sensitive data, allowing you to properly protect it.

Server & Desktop
Level Searching

Stay on top of PII throughout your organization, even down to the desktop level.

Having an agent installed on a server allows a user to scan the contents of local machines on the same shared network.
  Machine Learning

FileFacets learns from previous decisions you've made when classifying data.

As you classify documents, FIleFacets picks up on your tendencies and makes it easier to classify records based on a user's clustering habits.
Content Dashboard

Analyze your organizational data at a glance.

See a breakdown of your data by age, size, file type, and whether or not it contains sensitive information.
  PII Processing

Identifying PII is the first step in securing it.

FileFacets enables users to thoroughly scan repositories for all sensitive data.
Dynamic Clustering

Keep related data together with FileFacets' dynamic clustering.

The user can build a model that will create clusters based on subject matter, such as grouping all data containing PII such as drivers licenses or health information.
  Staging Area Sandbox

Ensure your folder structures are properly defined before moving your data.

Data mapping is easy with simple drag and drop functionality.

Explore the VAR Program benefits of becoming an FileFacets Partner
Please complete this short profile as a first step to becoming an FileFacets Partner