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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.

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

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  • 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

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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.

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Speakers

Man with short salt-and-pepper hair wearing a gray shirt and black t-shirt outdoors with green foliage background.
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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