How to Identify and Handle Your Sensitive Information Regardless of Where It’s Stored

Gain greater insight into your data in Microsoft 365, SharePoint, File Share, Emails, Dropbox, Box, Slack, Salesforce, and more!

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Protect sensitive data office 365

Event Information

  • 1 Hour

Expert Speakers

John Hodges

John Hodges

SVP Product Strategy, AvePoint

Darryl Clark

Darryl Clark

Principal Consultant, AvePoint

Do you really know how much sensitive data your organisation has and where it lives? Is it PII, PCI, Health Records information? Are you able to tell your boss who has access to this sensitive content?

Study shows that 90% of the world's data has been produced in just the last two years. With digital information being created at such an astonishing rate, odds are the information residing in your file shares, old databases, SharePoint or emails isn’t accurately classified.

As we have seen with the introduction of GDPR, ignorance is no longer an acceptable reason as to why sensitive information is not being stored correctly.

The challenge with such information is being able to identify, classify and remediate any security vulnerabilities at scale. Whether it’s as a precursor to a compliant migration or to provide greater clarity into your data, finding sensitive content when dealing with terabytes of information, some of which can be ten years or older, is like trying to find a needle in a haystack.

While there are some tools out there, there is a significant level of expertise required that many organisations don’t possess.

In this webinar AvePoint will show you how we help organisations by interrogating their data repositories to get a clear picture of what information they have. Our experts will also take you through a better, safer, worry-free approach to better understand your data using AvePoint’s Compliance Advisory Service.

We take the hassle out of understanding your compliance requirements by providing recommendations on how you can better identify, classify and secure your most sensitive data.

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