Skyflow
Runtime AI data control: isolate, tokenize, and govern sensitive data across apps, datastores, models, and agents
By Skyflow · 4.0/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Regulated enterprises that must isolate, tokenize, and govern PII, PHI, or PCI data across apps, warehouses, and AI agents
- Teams deploying LLM or agent workflows that need sensitive data de-identified at runtime before it reaches a model
- Engineering-led organizations that would otherwise spend 6-12 months building an in-house vault or sanitization layer
- Companies with global data-residency obligations that want regional vault hosting without replicating infrastructure
Ideal size: 200-5,000 employees people · Regulated enterprise or scale-up with a dedicated security and platform engineering team
Not for
- Teams without engineering capacity: Skyflow is an API and SDK platform, not a point-and-click compliance console
- Buyers who require published, self-serve pricing and a no-touch trial before committing
- Organizations expecting Skyflow to run their entire compliance program rather than secure the data layer
- Small businesses seeking only basic field-level encryption inside one database
Value metrics scorecard
Time-to-Value
Hours to first vault; ~3 weeks to production
~21 days to first production value
Total Cost of Ownership
On request
Custom enterprise pricing quoted per deployment; no public price list or self-serve tier
Implementation Friction
2/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Not published; scoped per vault, environment, and data volume
Add-on costs
- None
Company & support
Who is behind Skyflow, and how your team gets help once it is live.
Company
- Founded
- Not recorded
- Headquarters
- Not recorded
How you get support
- PhoneNot listed
- EmailNot listed
- Live chatNot listed
- Support portal / ticketsNot listed
- Community forumNot listed
- Help centre / docsAll plans
- Dedicated account managerNot listed
- In person / on-siteNot listed
- Hours
- Not recorded
- Response time
- Not stated
Skyflow publishes public documentation, API references, and SDK samples. The security page states 24x7 staff availability for incident response, which is not a customer support line, and only a sales demo form is published.
“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.
Market position
Where Skyflow sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line. A dashed ring marks an outlier pinned to the edge; hover for its value.
Companies on the chart 6 / 10
- Skyflow
- Cynet
- Prove
- Onspring
- Veracode
- Red Oak
Add or change companies
Up to 10 companies including Skyflow. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
No official MCP server. Reachable only by building one against their API.
AI & MCP readiness
What Skyflow ships in AI, and what it asks of your ecosystem.
AI features shipped
Sources describe Skyflow as runtime data control for AI: tokenizing sensitive data before it reaches LLMs, governing agent and MCP-server data flows, and a browser extension that detects and tokenizes content in organization-approved AI apps. Skyflow does not ship its own model, and no source names an upstream model provider, customer-supplied keys, or AI-specific audit exports.
Your data & models
- Trains on your data
- Never trains on your data
- Runs on
- Not recorded
- AI pricing
- Not recorded
In your ecosystem
- AI connection
- Custom build only
- Model key
- Not recorded
- AI usage audit
- Not recorded
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Skyflow is a data privacy vault: a zero-trust platform that isolates, tokenizes, and governs sensitive data at runtime through a single API. Enterprises use it to keep PII, PHI, and PCI data out of applications, analytics stores, LLMs, and agent workflows while meeting HIPAA, GDPR, and data-residency requirements. Customers such as GoodRx, Nomi Health, and Scalapay report deployment in hours to weeks and reduced compliance scope. Pricing is custom and quote-based, and the product's AI capability is used to protect model and agent data flows rather than to generate content.
Frequently asked questions
How quickly can we get Skyflow into production?
Customers report going live in hours to weeks: Nomi Health said it was up and running in just hours, and GoodRx deployed in under three weeks with the zero-trust vault architecture. The main effort is wiring your applications, datastores, and services to the Vault and Data APIs using the published SDKs, guides, and samples.
What does Skyflow cost?
Skyflow does not publish pricing. Its site offers only a demo request and a sales contact form, and pricing is quoted per deployment rather than as a seat-based list price. Budget for a custom enterprise contract plus your own integration engineering time; no public starting price, self-serve tier, or mandatory implementation fee is stated.
Which compliance certifications does Skyflow hold?
Per its security page: ISO 27001:2022 certified, SOC 2 Type II certified, PCI DSS Level 1 certified, GDPR assessed and compliant, and HIPAA assessed and eligible, plus Mastercard SDP and Visa Global Registry registered service provider status and EU-US Data Privacy Framework coverage. FedRAMP is not claimed.
Can Skyflow be used with LLMs and AI agents?
Yes. Skyflow tokenizes and de-identifies sensitive data before it reaches a model and applies runtime policies to agent, model, and multi-agent (A2A) data flows and MCP servers. A browser extension also scans prompts and attached files on organization-approved AI applications and replaces sensitive values with tokens before submission.
Does Skyflow train models on our data?
No. Its privacy policy states Skyflow does not use prompts, files, AI responses, detected sensitive information, or token mappings for advertising, generalized model training, or unrelated product-development purposes. Telemetry is limited to session and configuration data and counts of items detected or sanitized, not content.
Can we meet data residency requirements?
Skyflow states you can host your vault almost anywhere in the world and satisfy global data residency requirements without replicating infrastructure, and its compliance material positions residency and AI controls alongside PCI, HIPAA, GDPR, and DPDP obligations.