Topics and Challenges discussed:

• Data Privacy & Compliance in the world of Gen AI adoption: Numerous data privacy regulations, legal opinions, and tech limitations are putting on-going pressure on IT/Security teams to demonstrate compliance along with security and privacy conscious remediations (ie., privacy-preserved LLM training, several policy-driven multi-month long projects).
  

• Are DSPMs and DDR the answer? DSPM has garnered attention and adoption to highlight risk(s) but lacks automated remediation to be valuable to security/IT teams chartered to protect data anywhere its used. DDR may be able to provide protection for those real-time gaps.

• Safeguarding Data-In-Motion: While static data poses risk, it's whenever the data moves that the risk materializes. The challenge lies in not just detecting, but remediating this risk in real-time.
• Making the most of Microsoft E3/E5 adoption: Provides only a partial view into some MSFT apps & relies on end-users manually taking action to tag documents.

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