Eliminate sensitive data risk in Snowflake without sacrificing data usability for analysis, LLM model training, marketing, customer service, and more.
Secure PII in Snowflake
Remove PII across your entire technology stack, including Snowflake. Scale while complying with data residency regulations, keep PII out of LLM models, and safely share sensitive data from Snowflake to third parties.
How Skyflow Helps
Isolate sensitive data across your pipeline, warehouse, and analytics tools with a vault specifically designed to protect it.
De-risk Snowflake
Keep sensitive data out of data breaches by isolating it, de-identifying it, and making sure it’s protected in Snowflake and throughout your tech stack.
Safely Share Data
Govern sensitive data across the entire data pipeline – in Snowflake and other systems – allowing safe data sharing with third parties.
Protect Sensitive Data in LLMs
Keep your sensitive data out of LLMs without impacting usability, making compliance simple and straightforward. Adopt the latest technology quickly – and safely.
Simplify Data Residency
Have total control over where in the world your sensitive data is hosted and accessed. Satisfy global data residency requirements without replicating infrastructure.
Secure PII and satisfy data residency requirements without breaking analytics or other business operations. Set up the integration in minutes with Skyflow’s Native App, available in the Snowflake Marketplace.
Isolate. Protect. Govern.
Skyflow is a data privacy vault built to radically simplify how companies isolate, protect and govern their most sensitive data. Skyflow customers span verticals like fintech, retail, travel, and healthcare and use the data privacy vault architecture to comply with data residency laws, keep sensitive data out of LLMs, govern access to PII, and more.
Data Residency
Compliance
Data Governance
Tokenization and Polymorphic Encryption
Data Security
Secure Data Sharing
LLM Privacy
"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.