Interdict is useful wherever your application sends user or business data to an LLM and needs a consistent security decision before and after the provider call. It combines structured PII protection, prompt-injection controls, application policy, protected streaming, audit, budgets, and alerts across five supported provider routes.
Clinical copilots and patient-facing assistants routinely receive protected health information. Interdict can apply runtime policy to supported structured identifiers before provider calls and inspect supported model responses for the same PII types.
Healthcare AI detailsSupport, onboarding, and operations assistants can see card numbers, SSNs, dates of birth, phone numbers, and email addresses. Interdict can apply destination-aware policy before the upstream model call.
Fintech AI detailsPeople drop contact details and identifiers into chat. A checkpoint can reduce what is sent upstream, inspect model output before release, and leave an audit trail of the security decision.
Document review and drafting tools handle sensitive client data. Interdict can enforce application-level provider/model rules and record what was inspected without storing raw prompt or response content in the audit record.
Resume screening and interview tooling process personal contact information at scale. Interdict can redact detected structured identifiers and apply the same application policy across supported providers.
Route OpenAI, Anthropic, Gemini, xAI/Grok, and Ollama Cloud traffic through one control plane for application policy, protected streaming, audit, usage accounting, budgets, and alerts.
Supported providersDescribe the workload and start with a representative leak-audit review before changing production traffic.