Skyflow
Secure sensitive data across enterprise tech stacks
Target Audience
- Enterprise security teams
- Compliance officers
- Healthcare tech developers
- Payment processors
Hashtags
Overview
Skyflow is a data privacy vault that helps businesses protect sensitive information like customer PII, payment data, and healthcare records. It automates compliance with regulations like HIPAA, GDPR, and PCI DSS while keeping data isolated from general systems. The platform particularly focuses on securing AI implementations by preventing sensitive data from being used in LLM training datasets.
Key Features
Data Isolation
Keep sensitive data separate from operational systems
Compliance Automation
Pre-configured templates for 10+ global regulations
Unstructured Data
Protect sensitive info in documents and emails
PCI Streamlining
Reduce payment compliance scope by 90%
GenAI Privacy
Prevent sensitive data leakage in AI models
Use Cases
Protect GenAI training data
Secure healthcare PHI compliance
Streamline payment card processing
Manage global data residency requirements
Implement developer-friendly privacy APIs
Pros & Cons
Pros
- Offloads complex compliance burden
- Supports unstructured data protection
- Developer-first API design
- Specialized AI security layer
Cons
- Primarily targets enterprise-scale clients
- Requires technical integration effort
Frequently Asked Questions
How does Skyflow prevent PII breaches?
Uses zero-trust architecture and data isolation to minimize exposure
Can Skyflow protect AI training data?
Yes, specifically prevents sensitive data from entering LLM models
What compliance standards are supported?
HIPAA, PCI DSS, GDPR, CCPA, DPDP, PIPL, and others
Integrations
Reviews for Skyflow
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