Whitepaper

Building a Runtime Data Control Layer for Modern Retail

This whitepaper explores why a properly secured customer data layer is crucial for retailers when considering AI projects.

AI is revolutionizing the retail industry, delivering a more tailored customer experience, efficient sales, and automation. However, this new technology exposes a business to risk when delivering the data it gathers to downstream systems.

This whitepaper explores the complexity of using AI to collect retail customer data, why a properly secured customer data layer is crucial for retailers, and how leading retailers protect sensitive data at the moment it’s used.

You’ll also gain actionable insights into what a modern data privacy posture looks like in practice at the world’s leading retailers.

Learn more about how:

  • AI exacerbated the retail privacy problem
  • Securing retailers from data breach at the source
  • Why a runtime data control layer is critical to AI security
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De-identifying Analytics Data with 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
“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)
“It would take 3 engineers at least 6-12 months to build the basics of this solution internally, and 2 engineers to maintain it. At the end of the day, building in house would have drastically slowed our time to market. Skyflow made everything easy.”

Johnny Mitrevski

CTO, Scalapay

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What is a Data Privacy Vault?

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