Continuous Compliance, DLP & Governance OS
In high-scale healthcare, retail and financial domains, compliance is a continuous process. Delectable AI's Governance OS Architecture enforces strict data boundaries directly at the network edge: validating shopper consent via zero-knowledge verifiable credentials, dynamically redacting PII before any LLM ingestion, auditing third-party model Zero Data Retention (ZDR) SLAs, and verifying every downstream action against our secure decentralized identity trust spine. Explore the visual evidence below.
Select Compliance Subsystem
Select an area of the Governance OS to load its live continuous evidence audit trails.
Edge PII / DLP Filter Simulator
Test our high-performance regular expression and NER DLP edge filter in real time. Type or modify the payload below:
Zero-Trust Data Isolation
Instead of relying on downstream AI models to respect shopper privacy, Delectable AI isolates personal information at the platform boundary. Our Edge DLP Filter processes all inbound shopper data, instantly mapping and stripping physical identities, billing information, and exact coordinates.
Healthcare & Clinical Isolation
For grocery applications extending into pharmacy, wellness, and medical nutrition (HIPAA), Delectable AI enforces a strict cryptographic shield:
- Zero Health Database Ingestion: Pharmacy records or specific health conditions are never stored on Delectable's databases. Instead, they reside in the consumer's decentralized identity wallet.
- Decoupled Entitlements: Downstream APIs verify wellness recommendation boundaries via signed zero-knowledge claims. An application knows a shopper requires low-sodium products, but never knows the underlying clinical diagnosis.
Verifiable AI & Zero Retention
Enterprise AI deployments require absolute auditing. Every prompt evaluated by the platform's orchestration layer is checked for validity and grounded against the Food & Shopper Knowledge Graph before model dispatch.
Model Gateway Auditing
Calls to third-party model providers (OpenAI, Anthropic) are routed through our secure proxy carrying signed claims that activate Zero Data Retention (ZDR) DPAs:
- No Training Ingestion: Zero data sent is used for model training or retained beyond the transactional handshake interval.
- Grounding & Hallucination Audit: Prompts are dynamically ground against real-time catalog indexes, and model responses are validated using local scoring models before final UX injection.
- CMEK Access Control: Customer-managed encryption keys (CMEK) via Google Cloud KMS encrypt all internal cache pools, assuring full data custody.