Eliminate sensitive data risk in Snowflake without sacrificing data usability for analysis, LLM model training, marketing, customer service, and more.
Protect PII Across Your Data Stack
Skyflow helps you to meet the most stringent security and compliance standards without sacrificing the flexibility of your business. Remove PII across your entire technology stack, including Snowflake, while maintaining the ability to run analysis and workloads for data science, machine learning, and other business processes. You can also:
Scale while complying with industry-specific regulations.
Keep PII out of LLM models.
Safely share sensitive data from Snowflake to third parties.
De-Risk Your Data Cloud
Eliminate sensitive data exposure across your pipeline, warehouse, analytics, and reporting tools with a vault specifically designed to protect it.
Isolate
Isolate sensitive data in a highly secure environment with privileged access. Use tokens as stand-ins instead of replicating sensitive data across your systems.
Protect
De-identify data early in the data lifecycle, integrate with third party services, run secure workflows, and more.
Govern
Quickly build and centrally govern the data access flows you need, across your organization and with third parties.
Localize
Avoid cross-border data transfers and ease compliance with data residency laws by keeping personal data in regional vaults.
Skyflow de-identifies sensitive data at the point of collection and secures it in the Snowflake warehouse so that you can execute machine learning and analytics workflows while protecting privacy.
Skyflow secures sensitive data and returns non-sensitive tokens.
Tokens and other non-sensitive data are secured in Snowflake.
"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 and 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. Beyond hiring and talent costs, we’d also need to bring on consultants to advise on compliance requirements. 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
"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 and 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. Beyond hiring and talent costs, we’d also need to bring on consultants to advise on compliance requirements. At the end of the day, building in house would have drastically slowed our time to market. Skyflow made everything easy.”
Unstructured data, which makes up approximately 80 to 90% of all data, has remained largely untapped due to lack of proper tooling. With the introduction of data lakes and lakehouses in the past decade, and more recently LLMs, organizations have begun unlocking the potential of this data.
How to use Snowflake’s External Functions with Skyflow to de-risk and de-scope data privacy, security, and compliance from your data app infrastructure.