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From PII to GenAI: Architecting for Data Privacy & Security in 2025

0:00:00
Key takeaways
  • Build privacy-preserving AI agents and create AI systems that prioritize user privacy
  • Harden the protection layer of your data clouds, using tokenizing PCI data for payment processor integrations
  • Ensure data residency at enterprise scale by creating multi-tenant architectures
Time Stamps
PII — the problem behind data breaches
1:00
Protecting PII in Customer Data Platforms
8:20
PII in Tomorrow's Architecture (GenAI)
21:35

Session Description

Engineering teams have the difficult task of figuring out how to maintain, securely store, and manage the use of sensitive data – from patient records, financial data, to intellectual property.

With the adoption of GenAI like AI agents and LLMs, companies have been forced to entrust models with sensitive information, often at the risk of hallucinations or data breaches, creating an even greater urgency for advanced security and privacy measures.

In this session, Skyflow Chief Product Officer Amruta Moktali and Skyflow Head of Solutions Engineering Sam Sternberg will walk through common customer architectures for securing and managing your organization’s most sensitive data.

Speakers

Amruta Moktali
Chief Product Officer, Skyflow
Sam Sternberg
Head of Solutions Engineering, Skyflow

"We were able to successfully deploy Skyflow in less than three weeks with the zero-trust vault architecture, and our total cost of ownership decreased by 67%."

Nitin Shingate
CTO, GoodRx

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