Runtime Data Control for Agentic Commerce
Deploy AI agents in commerce workflows, securely handle payments, identity, 
and customer data without exposing sensitive information.
Agents Need Sensitive 
Data to Operate
Traditional data security wasn't built for AI agents.
Runtime AI Data Control Layer for Agentic Commerce
Skyflow sits between your data sources, MCP servers, agents, and models — protecting data in real time without interrupting workflows.
Universal Protocol Coverage
Every protocol leaves a data security gap. Skyflow closes all of them. One integration sits beneath every protocol, working simultaneously across all agent architectures.
Stripe-specific Shared Payment Token. No PII governance for data in ChatGPT prompts.
Processor-agnostic vault token store. PII de-identified before entering the context window.
Open protocol defines commerce flows, not data security. Exposes PII to connected agent platforms.
In-region vault processing in 150+ countries. Context-aware access controls for Business Agent queries.
Three-signature model verifies identity at network layer. Payload unguarded post- transaction.
Vault stores and governs TAP payment container data. Field-level audit trail for every transaction.
Registration covers authentication, not long-term governance. Merchants remain in PCI scope.
Removes all card data from merchant infrastructure.Zero PCI scope for stored credentials.
Broad system access with no field-level governance. Exposes PII, PCI, or health records blindly.
MCP Server SDK enforces per-agent, per-field governance at the protocol layer with zero code changes.
Fully autonomous architectures create massive data risk across unmonitored disparate agent chains.
Context-aware governance propagates across entireagent chains. Detects prompt injection deviations.
Secure Agentic Commerce from Cart to Fulfillment
Built for the specific data and context needs of agentic commerce.
Runtime Data Protection
Enforce field-level privacy across MCP connections without app changes.
Field-Level Policy Enforcement
Fine-grained access controls applied at the moment of agent data request.
Two-Way Data Rehydration
Mask, tokenize, or rehydrate fields in real time based on policy and permissions.
Multi-Agent Governance
Data access policies propagate across orchestrator and subagent chains.
MCP Data Protection
Available as a gateway proxy or embeddable SDK. Any MCP-compatible agent framework enforces Skyflow data policies without changes to existing application code.
Immutable Audit Logging
Every agent data access is logged at the field level for compliance and auditability.
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