Security, Privacy & Compliance
Skyflow
Runtime AI data control platform for enterprises
API-first data privacy vault that isolates, protects, and governs sensitive customer information using zero-trust architecture and polymorphic encryption.
Overview
The Skyflow homepage
Skyflow is an API-first data privacy vault designed to help enterprises and startups isolate, protect, and govern sensitive customer information including PII, PCI, and PHI. The platform uses zero-trust architecture and patented polymorphic encryption to ensure strong security and privacy across systems while enabling safe use of sensitive data in AI workflows and critical business processes.
The company was founded in 2019 to radically transform how businesses handle financial, healthcare, and personal data. Skyflow's mission is to solve data privacy challenges by delivering Data Privacy Vaults via a simple, elegant API, making it easy to add data privacy to applications similar to how Stripe enables payment integration.
Skyflow helps organizations secure sensitive data throughout the AI lifecycle including during data collection, model training, fine-tuning, RAG, and inference. The platform supports compliance with global data protection regulations including GDPR, HIPAA, PCI, DPDP, CCPA, and CPRA, while enabling organizations to safely deploy AI agents and critical workflows without compromising data security or usability.
Capabilities
- De-identify and re-identify sensitive data automatically during data collection, model training, fine-tuning, RAG, and inference
- Fine-grained access controls to govern access to sensitive data
- Zero-trust vault architecture for PII, PCI, and PHI isolation
- Polymorphic encryption for data protection
- Compliance support for GDPR, HIPAA, PCI, DPDP, CCPA, CPRA
- Privacy-preserving AI agents that detect and isolate sensitive information
- Data residency compliance without adding instances
- Secure data sharing and governance across systems
- Tokenization for sensitive data protection
- API-first architecture for easy integration
Pricing
Pricing model: Contact for pricing
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Skyflow fact sheet
| Community votes | 0 |
|---|---|
| Founded | 2019 |
| Stage | Established |
| Based in | Palo Alto, United States |
| Website | skyflow.com |
Skyflow metrics
Vendor metrics for skyflow.com: Ahrefs Domain Rating and Majestic link data, with the delta since the last review.
- Domain Rating
- 67
- no change since last check
- Trust Flow
- 19
- no change since last check
- Citation Flow
- 41
- no change since last check
- Referring domains
- 733
- no change since last check
- External backlinks
- 3,088
- no change since last check
Vendor Domain Rating (Ahrefs) checked 6 Nov 2026, spec changed 26 Oct 2026. Vendor topic: Business/Financial Services (19). Vendor Majestic data checked 26 Oct 2026, spec changed 26 Oct 2026. Link metrics supplied by Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.
Skyflow vendor domain
Open the vendor record
We read this from the registry's RDAP record on 6 Nov 2026, 15:53 UTC.
- Domain age
- 26 years
- Registered
- Expires
- Registrar
- Squarespace Domains II LLC
- DNSSEC
- Signed
Skyflow post-launch report
| Measure | At launch, then latest |
|---|---|
| Domain Rating (Ahrefs) | 67 to 67 no change since launch 26 Oct 2026, then 6 Nov 2026 |
| Trust Flow (Majestic) | 19 first measured 26 Oct 2026 |
| Referring domains (Majestic) | 733 first measured 26 Oct 2026 |
Day 10 since launch. Next receipt: day 30, 25 Nov 2026. Many things move these figures, so a change is not proof of cause. Only stored readings are shown.
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Buyer questions
How does Skyflow help with AI data security?
Skyflow secures sensitive data throughout the entire AI lifecycle by automatically de-identifying and re-identifying data during collection, training, fine-tuning, RAG, and inference. It builds privacy-preserving agents that detect, isolate, and protect sensitive information flowing into and out of generative AI systems.
What compliance standards does Skyflow support?
Skyflow helps organizations comply with major global data protection regulations including GDPR, HIPAA, PCI, DPDP, CCPA, CPRA, and the EU AI Act, while also supporting data residency requirements.
How quickly can organizations deploy Skyflow?
Skyflow can be deployed in hours rather than months. The platform uses a zero-trust vault architecture that enables rapid implementation without requiring extensive custom engineering projects.
What makes Skyflow different from building data privacy in-house?
Skyflow eliminates the need for engineers to spend 6-12 months building data privacy infrastructure and 2 engineers maintaining it. The platform provides per-field encryption, runtime policies, and customer-specific isolation as a managed service rather than a custom project.
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