Data Discovery And Classification
The Foundation Of Effective Information Governance

With the emergence of new data protection regulations, organisations must take a combined data discovery and data classification approach to ensure sensitive data is adequately protected.

Combining best of breed data discovery and data classification technologies provides organisations with the right tools for the job, and importantly enhances functionality that strengthens the discovery and classification process particularly if they are integrated into a ‘metadata’ security ecosystem. Once you have found your most sensitive and business critical data, determined the potential risks to its security, prioritised it and classified it, you can make informed decisions about how to protect it using controls such as DLP solutions, utilising encryption or other post-delivery controls.

The Benefits of Data Classification
Data Discovery

In today’s digital economy, providing the right tools to tackle big data protection issues is paramount to ensuring success and safeguards against financial and business risk associated with data loss incidents. In short, combining best of breed solutions for discovery and classification enables organisations to cover all bases – from classifying data being created and in transit, to critically classifying sensitive data at rest.

The process of building up a holistic view of your data involves three steps:

  • Determining how to identify the sensitive and business critical data within the business
  • Carrying out a discovery exercise to find out exactly what legacy data exists and where it resides, as well as what new data is being collected and created
  • Determining who has access to all the data that has been discovered, and how it is used

Boldon James Data Discovery Solution Partners

Discovery partners that Boldon James integrate with include:

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