Eliminate sensitive data breach risks in Databricks without sacrificing data usability for analytics, LLMs, marketing, or customer service.
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. Protect PII in Databricks, while maintaining the ability to run analysis and workloads for data science, machine learning, and other business processes.
How Skyflow Helps
Remove sensitive data from your data pipeline with a vault specifically designed to protect it.
De-risk Databricks
Keep sensitive data out of data breaches by isolating it, de-identifying it, and making sure it’s protected in Databricks and throughout your tech stack.
Govern Data Across Your Stack
Apply central and uniform data governance for your sensitive data across the entire data pipeline, even outside of Databricks.
Protect Sensitive Data in LLMs
Keep your sensitive data out of LLMs without impacting usability, making compliance simple and straightforward.
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.
Same Powerful Databricks, Without the Privacy Risks
Enhance data security, unlock privacy preserving analytics, and satisfy data residency requirements, no change from how you use Databricks today.
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%."
How to Secure Your Warehouse Against Data Breaches
In this post, we explain how you can use Skyflow with Snowflake or other cloud-based warehouses and analytics data stores to transform sensitive data into non-sensitive data that still keeps the data useful. This removes PII exposure risks while allowing analytical and machine learning operations to work as expected.
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.
