AI TOOL PROFILE
Skyflow Data Privacy Vault
- Security
- Data Management
- 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.
At a glance
- Best for
- Mid-market companies, Enterprise companies, Fintech firms, Healthcare providers, Retail and travel businesses
- Key use cases
- LLM Data Security, HIPAA Compliance, PCI Compliance, Global Data Residency
- Integrations
- AWS, Google Cloud, Snowflake, Databricks, ServiceNow
- Official website
- Visit Skyflow official website
How AI is used
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
Polymorphic Encryption
Designed to protect data privacy while maintaining usability for teams such as data science, marketing, and customer service.
Tokenization
Replaces sensitive data in the infrastructure with tokens to help reduce breach risks and support compliance.
Granular Access Controls
Supports policies that define who can access specific data sets and for what purpose.
AI Data Protection
Designed to detect and redact sensitive information during LLM data collection, training, and inference.
Global Policy Management
Supports the enforcement of data residency requirements for laws such as GDPR, CCPA, and CPRA.
Multi-Layer Encryption
Supports encryption for data at rest, in transit, and in memory.
Use Cases
LLM Data Security
Protecting PII and intellectual property during the collection, training, and fine-tuning of large language models.
HIPAA Compliance
Isolating and governing PHI to support the technical safeguards and audit requirements of healthcare regulations.
PCI Compliance
Isolating payment data from the primary environment to support PCI compliance requirements.
Global Data Residency
Managing and storing regulated data to help comply with various international data residency laws.
Integrations
- AWS
- Google Cloud
- Snowflake
- Databricks
- ServiceNow
- HubSpot
FAQ
What is a data privacy vault?
- 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.
How does Skyflow support AI and LLMs?
- 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.
Which compliance standards does Skyflow meet?
- 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
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