Data Provider for AI Data Access
Secure Data Sharing for AI Applications
AI applications need structured access to enterprise data for real-time personalization, agent-powered workflows, and intelligent analytics. Fiskil Data Provider sits between your data and AI consumers, enforcing consent, managing access tokens, and maintaining complete audit trails—so you can share data confidently without building custom infrastructure.
The Challenge
Enterprises want to leverage AI but lack infrastructure to share data securely. Custom API integrations are expensive, don't handle consent management, and can't scale to multiple AI consumers. Without FAPI-grade security, sensitive data is exposed to unauthorized access.
The Solution
Fiskil Data Provider creates a secure data sharing layer between your enterprise systems and AI applications. FAPI 2.0-compliant APIs handle authentication, consent scoping, and real-time access controls. AI developers register through a self-service portal and request access to specific data scopes—all managed through a central dashboard.
Benefits
Key Benefits
Consent-Managed Access
Granular consent controls let data owners approve exactly what AI applications can access, with purpose limitation and time-bounded permissions.
FAPI 2.0 Security
Financial-grade API security with mTLS, signed request objects, and DPoP tokens protects sensitive data during AI access.
AI Consumer Registration
Self-service portal for AI application developers to register, request data scopes, and manage API credentials.
Complete Audit Trails
Every data access request is logged with consumer identity, data scope, timestamp, and purpose for compliance reporting.
Use Cases
Common Use Cases
AI-Powered Analytics
Share structured data with AI analytics platforms for insights generation. Consent management ensures data owners control what gets analyzed and by whom.
AI-Powered Personalization
Share customer and product data via API so AI applications deliver tailored experiences. Consent-scoped access ensures each AI consumer only receives the data relevant to its personalization use case.
Recommendation Engines
Feed real-time data to AI recommendation systems through streaming APIs. Purpose limitation ensures data is only used for recommendations, not resold or repurposed.
Guides
Deep-Dive Guides
AI Data Access
Auth0 Integration
Combine Auth0 identity management with Fiskil Data Provider for enterprise-grade AI data sharing. FAPI 2.0 security, consent management, and audit trails on top of your existing Auth0 infrastructure.
AI Data Access
AWS Cognito Integration
Deploy FAPI 2.0 data sharing on AWS infrastructure with Cognito User Pools and Fiskil Data Provider. Enterprise-grade consent management and audit trails native to your AWS environment.
Ready to get started?
Get in touch to learn how Fiskil's Data Provider can work for your business.
FAQs
AI developers register through a self-service portal, providing application details, intended data use, and security credentials. Applications are reviewed and assigned appropriate access tiers before receiving API keys.
Fiskil Data Provider uses FAPI 2.0 security including mTLS for transport security, signed request objects for request integrity, DPoP tokens to prevent token theft, and PAR for secure authorization requests.
Yes, consent scoping lets you define granular access controls at the field level. AI applications only see data within their approved scope, and purpose limitation prevents data from being used beyond its stated purpose.
Every API request is logged with the consumer identity, requested data scope, timestamp, IP address, and stated purpose. Audit logs are retained for configurable periods and exportable for compliance reporting.
Yes, Fiskil Data Provider integrates with Auth0, AWS Cognito, and other OIDC-compliant identity providers. Your existing identity infrastructure handles authentication while Fiskil manages data sharing authorization.
Automated monitoring detects anomalous access patterns. Violations trigger alerts and can automatically revoke access tokens. All incidents are logged for review and reporting.
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