Meeting Privacy and Security Challenges with Adlib

Privacy and Security Challenges With a diverse background working with unstructured content – including emails, CAD drawings, spreadsheets, and Word documents – Adlib has developed the Content Elevation Process which enables organizations to take control of their information:

  • Standardize:

    The first phase in the process is to standardize all content regardless of format which is helps to ensure privacy and security measures.

    • Convert over 400 file formats to high-definition, ISO-approved PDF format to ensure all content is readable regardless of authoring software
    • Remove duplicates – as much as 35% – to ensure a clean and manageable repository of documents
    • Develop a deeper understanding of unstructured content by examining the data and file stats – including author, title, date, and types
  • Analyze:

    The second phase is able to dig into the standardized documents and pull out information based on the organization’s privacy and security requirements.

    • Assign Adlib’s proprietary Content Fingerprint – a digital representation and unique identifier for each piece of content – to rapidly examine large volumes of documents to determine the privacy and security settings required
    • Determine content that is eligible for Progressive Classification™ and define categories based on specific private or secure material within those documents
  • Categorize:

    The third phase of the process organizes the content based on the information provided by the Content Fingerprint identifier.

    • Use the similarity index – with a full audit trail – to identify specific categories of documents based on security and privacy parameters identified
    • Discover further duplicate content, and remove Redundant, Obsolete, and Trivial (ROT) data
    • Determine what to do with files that are near-duplicates
  • Optimize:

    The fourth and last phase of the process takes unstructured content to another level by adding in enhancements, and preparing the content for further downstream processes, identified by Progressive Classification.

    • Apply appropriate privacy and security controls to similar groups of documents, identified with Progressive Classification technology
    • Add digital signatures and watermarks to create controlled documents that are authentic and secure
    • Redact confidential information such as Non-public Personal Information (NPI) and Personally Identifiable Information (PII) based on pre-defined patterns and marked areas