How Data Security and Data Classification Technologies Can Help
Combining best of breed data discovery and data classification technologies provides organizations 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, prioritized it, and classified it, you can make informed decisions about how to protect it using controls such as DLP solutions, utilizing encryption, or other post-delivery controls.
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 organizations to cover all bases – from classifying data being created and in transit, to critically classifying sensitive data at rest.
How to Build a Holistic View of Your Data
The process 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.