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Will Privacy Kill Generative AI?

0:00:00
Key takeaways
  • Rising privacy concerns about the usage of AI in enterprise systems
  • Solutions that do not block Generative AI completely while focusing on privacy
  • How organizations can share and operate on fully encrypted data
Time Stamps
Generative AI and the privacy landscape
2:23
Netflix and Google-like data privacy vault architecture
16:40
Enabling teams to securely leverage generative AI
24:00:00

Session Description

We are all excited about what AI can do but there is a massive “elephant in the room”: Generative AI is a data sponge. Once you feed it sensitive data, there is no undo or delete. Once AI learns it, it’s stuck in there.

This session features Anshu Sharma, Amruta Mortal and Nishant Bhajaria where they talk about:

  • Why traditional security breaks when dealing with sensitive data in Agentic AI workflows
  • How a “Privacy Vault” actually lets enterprises move faster without having to worry about security
  • How to build the zero-trust layer between your users and AI

Privacy doesn't have to be the "kill switch" for your AI strategy. When handled as a strategic architectural choice it becomes the very foundation that allows an enterprise to move faster than its competitors, safely.

Speakers

Nishant Bhajaria
Privacy Engineering Leader, Ex-Uber, Google, and Netflix
Anshu Sharma
Co-founder and CEO , Skyflow
Amruta Moktali
Chief Product Officer, Skyflow

“We were up and running on Skyflow in just hours, rather than the months it would take to build and implement even a fraction of this data privacy rigor.”

Boe Hartman
CTO, Nomi Health (former CTO, Goldman Sachs)

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