Identity and onboarding
Separate raw identity fields from model context and reserve approved verification flows for the destination that actually needs them.
Fintech AI
Control where identity and financial data is allowed to travel.
Interdict gives fintech applications a runtime enforcement layer between application context and supported AI providers, so sensitive data, model access, responses, budgets, and audit outcomes are governed at one checkpoint.
runtime pathpolicy active
Application contextIdentity, account, and workflow context
SSNDOBemailphonecard dataaccount context
↓
Interdict enforcement layerDetect → decide destination → transform → forward
BLOCKREDACTALLOWVERIFY
approved pathVerifier / tool
minimal contextAI provider
The operating problem
The model call is a data boundary, not just an API request.
Data can be well protected in source systems and still be assembled into prompts, tool arguments, retrieved context, or model responses. Interdict focuses on the runtime handoff where the application is about to send that context outside its own boundary.
Support and servicing
Inspect customer and account context before it is assembled into support prompts or assistant requests.
AI-assisted operations
Centralize provider, model, sensitive-data, and spend rules across workflows instead of duplicating them in each integration.
Runtime controls
One checkpoint for the decisions application code should not have to duplicate.
Inspect supported identity and contact data
Detect supported structured values such as SSNs, dates of birth, emails, phone numbers, and payment-card patterns in the runtime path.
Route by destination and purpose
Keep sensitive identity data away from the model when policy sends it to an approved verification destination instead.
Enforce provider, model, and budget policy
Apply application-level controls before supported provider credentials are used for the model call.
Create an audit trail of the decision
Record enforcement metadata and outcomes without placing the raw prompt or response into the audit record.
Start with evidence
Find out what your fintech AI workflow is prepared to send.
Evaluate a representative request path before deciding whether Interdict belongs in production.