Skyflow Data Privacy Vault
Skyflow helps businesses isolate and govern sensitive data to meet regulatory requirements. It is designed for companies needing to secure PII within AI workflows or maintain data residency compliance.
At a glance
- Category
- Security
- Best for
- Mid-market companies, Enterprise companies, Fintech firms, Healthcare providers, Retail and travel businesses
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- LLM Data Security, HIPAA Compliance, PCI Compliance, Global Data Residency
- Integrations
- AWS, Google Cloud, Snowflake, Databricks, ServiceNow
- Official website
- skyflow.com
Skyflow is a data privacy vault designed to isolate personal identifiable information (PII), protected health information (PHI), and payment data (PCI) from a company's primary technology stack. By storing this sensitive information in a secure vault, businesses can manage data access via an API.
The tool is designed for organizations in fintech, healthcare, retail, and travel. It supports data protection at rest, in transit, and in memory, and provides granular access controls to manage which users can access specific data.
For businesses using generative AI, the platform is designed to identify and redact sensitive data during the LLM lifecycle, including training, fine-tuning, and inference. This may help organizations use AI models while protecting intellectual property and private customer data.
Buyers should confirm how the API-first approach fits into their current development workflow and verify the specific global data residency laws they need to support using the platform's tools.
Key Features
Designed to protect data privacy while maintaining usability for teams such as data science, marketing, and customer service.
Replaces sensitive data in the infrastructure with tokens to help reduce breach risks and support compliance.
Supports policies that define who can access specific data sets and for what purpose.
Designed to detect and redact sensitive information during LLM data collection, training, and inference.
Supports the enforcement of data residency requirements for laws such as GDPR, CCPA, and CPRA.
Supports encryption for data at rest, in transit, and in memory.
Use Cases
Protecting PII and intellectual property during the collection, training, and fine-tuning of large language models.
Isolating and governing PHI to support the technical safeguards and audit requirements of healthcare regulations.
Isolating payment data from the primary environment to support PCI compliance requirements.
Managing and storing regulated data to help comply with various international data residency laws.
Best For
Integrations
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
A data privacy vault is a system designed to isolate sensitive information, like PII or PHI, from the rest of a company's tech stack, governing access through a secure API.
It is designed to identify and redact sensitive data and intellectual property during the collection, training, fine-tuning, and inference stages of the LLM lifecycle.
The platform holds ISO 27001:2022, SOC 2 Type II, and PCI DSS Level 1 certifications, and it is designed to help users meet HIPAA, GDPR, and CCPA requirements.
Source category: Security
Source subcategory: Data Management
