Data privacy vault that tokenises PII, PHI and payment data so applications and AI agents operate on tokens and detokenise only at the trust boundary, with polymorphic encryption, per-field access policies and data residency controls.
Key Features
- Sensitive data tokenization
- Polymorphic encryption
- Field-level access control
- Data residency compliance controls
- Detokenization at the trust boundary
Pros
- Dramatically reduces data-breach risk
- Helps enterprises easily meet regulations
- Balances system functionality with security
Cons
- Requires adjusting existing code architecture
- A steep learning curve during rollout
Use Cases
- Protecting financial payment data
- Managing medical patient privacy
- Secure operation of AI agents
Editor's Note
A powerful security solution that balances AI innovation with data privacy.
FAQ
What is data tokenization?
Tokenization replaces real sensitive data with harmless random strings (tokens), so systems only use tokens during operation, protecting the real data from leaks.
How does Skyflow help AI applications?
It lets AI agents see only tokens while performing tasks, avoiding sending sensitive personal privacy directly to third-party AI models.
Is this suitable for small teams?
This tool is mainly designed for enterprise-grade clients with strict security and compliance needs.