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 →
The inverse traversal. Tell the graph what you already run, and it ranks all use-case profiles by how much of their required technical control set you already cover — an opportunity view, not only an obligation view. Nothing is stored.
Target market(s)European UnionUnited States (federal)change
Highest-leverage gaps are flagged when the missing component is a jurisdiction-specific legal driver outside your selected markets.
Step 1 of 2 — what do you already run?1 selected
PII Scrubbing / DLP-NER Layer
Step 2 of 2 — what your stack enables
What coverage means here: a use case is covered when every control it requires maps to at least one component in your stack. A gap is therefore not a score — it is a specific missing edge in the graph, named below with the control it would satisfy.
0 runnable today · 3 within reach · 75 further out, from 1 owned component.
Coverage speaks to the technical control set only — not to the organisational obligations (governance, documentation, human oversight staffing) a use case carries. Open the profile for those.
Runnable today (0)
No profile is fully covered yet — the “within reach” band shows the shortest path there.