Speak to a Skyflow data privacy expert to learn how to de-risk your data from breaches, accelerate time to market and reduce total cost of ownership (TCO).
Skyflow detects and protects all sensitive and personally identifiable data. Some examples are listed below:
Skyflow integrates with and can be deployed on any database (PostgreSQL, MySQL, MongoDB, Redis, Microsoft SQL Server, AWS DynamoDB, etc.), any cloud (AWS, Azure), and any data warehouse (Snowflake, Databricks, BigQuery, Redshift, Synapse).
Depending on the type of sensitive data you handle and where you’re based, different regulations may apply. Companies must carefully evaluate which regulations apply to their business based on factors like the types of data they handle, the locations of their customers or users, and the industries in which they operate. A few good ones for companies to pay attention to are GDPR, CCPA, and HIPAA.
Skyflow offers a data privacy vault that lets companies protect sensitive customer data while still using it across applications, eliminating the tradeoff between privacy and utility. Central to this is the use of polymorphic encryption, which keeps data fully encrypted yet usable within applications, providing strong protection without sacrificing functionality.
While building your own data privacy vault is possible, it demands a significant investment in domain expertise, system architecture, ongoing maintenance, and opportunity costs. Consequently, many companies find it more practical to leverage an existing solution like Skyflow. Skyflow’s platform is built and maintained by a team of security and privacy experts, allowing you to focus on your core business while still benefiting from enterprise-grade data protection.