About this event
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
Hosted by
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Guest speaker
Shai Gelbaum Director of Product Management @ BigIDG
Shai Gelbaum has been in the security field for over 20 years, with roles in product management and sales engineering. Prior to BigID, he held positions at Forcepoint, Checkpoint, Sophos, Cybereason and Forescout.
BigID
Know Your DataBigID’s data intelligence platform enables organizations to know their enterprise data and take action for privacy, protection, and perspective.
