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Regulated AI Navigator

Turn an AI use case into its full regulatory footprint — every domain it touches, from AI law and data protection to cyber, product safety and sector rules — with the obligations, the architecture and the evidence you owe, in about two minutes.

Community-curated knowledge graph — every claim carries its citation across law, engineering and governance. Every change traceable →

Start where you stand →Browse 78 profiles

Where do you stand? › Route 3 · Vendors & stack

I know which systems I need — who supplies them?

Pick the components you have to put in place. For each one you get the build-vs-buy reading and the market layer that supplies it, with the same scored recommendations and confidence the full analysis uses. Nothing is stored; the selection lives in the URL.

Target market(s)European UnionUnited States (federal)change

Legally-driven components are flagged when their requiring regulation sits outside your selected markets.

Target market(s)

Where will this system be used or placed on the market? The conclusion is derived for these jurisdictions — instruments that bind only elsewhere are left out.

Europe
North America
Latin America
Asia-Pacific
Middle East
Africa

Selected: European Union, United States (federal) · thin-coverage jurisdictions need verification

density

Step 1 of 2 — pick your components1 selected

PII Scrubbing / DLP-NER Layer
Two-Tier Air-Gapped De-Identification Ingestion (3)
Deterministic Circuit Breaker with Reversible Shadow Execution (3)
Grounded Citational RAG (5)
Deterministic Document-Validation Pipeline (3)
Dual-Agent Guardian Topology (4)
Hardened Edge / IoT Pattern (3)
Constrained GAM with Differential-Privacy Tokenisation (2)
Glass-Box EBM with Monotonic Constraints (2)
Guarded RAG Pattern (2)
Human-in-the-Loop Core Pattern (1)
Tiered-Confidence Moderation Queue (1)
Agentic RDA Stack (6 Layers) (3)
Sandboxed Execution with SAST Gates (1)
Sovereign Resilient Enterprise Pattern (5)
Four-Layer TRiSM Enterprise Stack (2)
Cross-cutting components (22)

Step 2 of 2 — the vendor & stack view

0 of 1 selected components are covered by 0 market layers · 1 with no supplier layer in the graph.

Named vendors are community-maintained, disputable examples — not an endorsement. The stable object is the market layer. Compare with the reference stack for your regulatory profile →

Build or buy, per component (1)

PII Scrubbing / DLP-NER Layer build in-house AEJPKEthinRWthinINBR+11
No market layer in the graph supplies this component — treat it as in-house engineering (or propose the missing supplier layer).
Required by: ADGM Data Protection Regulations 2021 (AE), APPI (JP), Data Protection Act 2019 (KE), Data Protection Law 058/2021 (RW), DIFC Data Protection Law No. 5/2020 (AE), DPDP Act 2023 (IN), LGPD 13.709/2018 (BR), Nigeria Data Protection Act 2023, PDP Law 27/2022 (ID), PDPA (SG), PDPL (SA), PIPA (KR), PIPEDA (CA), PIPL (CN), POPIA (ZA), Privacy Act 1988 + 2024 Amendment (AU), Revised FADP (CH), UK GDPR / DPA 2018 as amended by DUAA 2025 in forcein forceunverified — help verifyunverified — help verifyin forcein forcein forcein forcein forcein forcein forcein forcein forcein forcein forcein forcein forcein force
Legally required in AE, JP, KE, RW, IN, BR, NG, ID, SG, SA, KR, CA, CN, ZA, AU, CH, GB — none of your selected markets carry this driver; treat it as a market-specific requirement, not a universal one. Help verify coverage →

No supplier layer recorded (1)

The graph knows no market layer for these — treat them as in-house engineering, or propose the missing supplier layer.
PII Scrubbing / DLP-NER Layer
Automated detection, pseudonymisation and blocking of personal data in inputs, retrievals and outputs.

Next step: Check which use cases this stack could carry →