Skyflow Launches Second-Generation Data Privacy Vault for Sensitive Customer Information, with Advanced Governance Engine
New Skyflow PII Vault Helps Developers Build in Data Privacy, Security, and Compliance at the Ground Level
- Enables any organization to use the same data privacy vault architecture pioneered by privacy tech leaders like Apple and Netflix
- Ensures regulatory compliance for sensitive data, including data privacy and data residency requirements driven by GDPR, CCPA, SOC 2, and many others
- New Governance Engine makes fine-grained data access control for any workflow easy to build and enforce, and allows any combination of policy, role, or attribute based rules
- Skyflow is delivered as a modern API and deployable in less than a day
Skyflow announced the launch of its PII Data Privacy Vault, the industry’s first zero trust data vault for securely handling sensitive customer information (known as personally identifiable information, or PII). The PII Data Privacy Vault includes the new Skyflow Data Governance Engine, which enables fine-grained access control to data based on roles, policies, or attributes. The vault is delivered as a simple API, allowing software developers to quickly build innovative applications without worrying about data security, privacy, or compliance.
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“Things I Learned Building Data Privacy Vaults at Netflix”
The best opportunities for ensuring data privacy and security today are in the hands of the CTO and the development teams, who can build in best-of-breed vault technology at the data layer. The very largest companies have taken this approach for years, but most companies have been stymied by the time and effort required to build their own data privacy vaults, and instead rely on a patchwork of security and compliance point solutions layered on top of their systems. These add complexity, make secure use and sharing of the data difficult, and often have a negative impact on performance and user experience.
Skyflow provides these teams their own data privacy vaults via a simple and fast-to-deploy API, making it easy for them to build in data privacy. Skyflow’s PII Vault helps them ship faster by addressing any and all the key challenges associated with PII data privacy, including:
- Data Security
- Data Governance
- Data Residency
- Secure Data Sharing
- Secure Analytics
The Skyflow PII Vault can be deployed in less than a day.
Expanding Data Governance
The Skyflow Data Governance Engine, which is shared with Skyflow’s other data privacy vaults, consolidates and extends the data governance features, and adds a new policy expression language that makes it easy to create fine-grained data access control system, from columns to rows, based on any combination of policy, role, or attribute. The Data Governance Engine delivers a broad set of features, including access control, data provenance, auditing, logging, policy enforcement, and others.
Shifting Left for Better Data Privacy and Security
Inspired by the PII data vaults built internally by companies like Apple, Google, and Netflix that spend tens of millions of dollars on privacy, Skyflow has built a zero-trust data vault that any company can put into production in a few hours thanks to an elegant API. The Skyflow API allows engineering teams to build in privacy protection, data security and compliance from the earliest stages of the development process. The PII Vault is ready to handle sensitive customer data and has built-in data loss protection, compliance, a customizable data schema, and a fully configurable governance engine.
“Building software that handles sensitive customer information isn’t getting any easier, not when crippling data breaches happen daily and new privacy regulations constantly emerge,” said Amruta Moktali, chief product officer, Skyflow. “Our data privacy vault-as-an-API approach is radically changing the way everyone thinks about the problem. It allows teams to shift data privacy and security left, to earlier in the development process, where problems like data security, governance, residency, and compliance can be solved more effectively and easily.”
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