Cloud native Data Loss Prevention: the future of data security
Published Mar 22 2023 09:00 AM 3,736 Views

Data loss prevention (DLP) is a layer of an organization's data security strategy. It helps protect sensitive data by preventing users from inappropriately sharing it with people who shouldn't have it. Forward-thinking organizations are seeking to future-proof their DLP strategy with a comprehensive solution that scales across all applications, services, endpoints, and platforms.

In this month’s episode of Uncovering Hidden Risks, we discuss some recent DLP research and what's coming up in this space. Microsoft spoke to more than 300 data and compliance professionals to create the whitepaper “Data Loss Prevention: From on-premises to cloud.” 


Joining us as a guest is Maithili Dandige, Partner Group Product Manager for several Microsoft Purview products. Maithili’s team is behind products such as Information Protection, Data Loss Prevention, Data Lifecycle Management, Records Management, eDiscovery, and Audit. Also joining us as a guest host is Shilpa Bothra, a senior product marketing manager for Microsoft Purview Data Loss Prevention.


Together, we will explore cloud native Data Loss Prevention and why it is the future of data security.


In this episode, we will cover the following:

  • Where the market is today in our DLP solution journey
  • What are you hearing from customers regarding the evolution of DLP
  • Key findings, recommendations, and best practices from the whitepaper Data Loss Prevention: From on-premises to cloud
  • The benefits of adopting a cloud native solution
  • How customers can get started with DLP
  • Thoughts on the future of DLP

Listen to this episode on your favorite podcast platform: 

To learn more about Microsoft Security solutions, visit our website. Bookmark the Security blog to keep up with our expert coverage on security matters. Also, follow us at @MSFTSecurity for the latest news and updates on cybersecurity. 

Version history
Last update:
‎Mar 21 2023 05:20 PM
Updated by: