Why It’s Time to Rethink Your Approach to Data Classification

Discover why traditional classification methods are not making the cut

 

Data classification is embedded in the very DNA of successful data protection and privacy programs, at the heart of a true data asset inventory, and is critical for compliance – but it can be difficult, unreliable, and inconsistent (at best).  How can enterprises know their data in a fragmented data landscape of diverse data formats, schemas, content, and metadata types? Why haven’t we solved the classification conundrum – and how can security and privacy teams lead the charge for next-generation classification?

It’s crucial that data classification takes a leap forward – enabling organizations to maintain an accurate data inventory, achieve continuous compliance, get insight on their critical data faster, and establish a holistic view of sensitive data across the data sprawl.

Join this session to learn more about:
●      Why organizations need a new approach to data classification – and why traditional classification isn’t enough
●      How to apply ML to get deeper insight into data
●      New techniques for classifying sensitive data

Register below for the full on-demand replay



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