Risk reports are tables — hundreds of rows the CRO scrolls looking for the cell that matters. Most material risk has a geography. Risk Maps puts your firm’s exposure on a live geo-sectoral heatmap: drill from region to sector to entity, every value sourced from the ontology with a full audit trail.
Preview · click a cell to drill, drag the threshold, toggle the compliance overlay.
A regulatory change in one country. A sector concentration. A supply-chain shock across a region. Material risk has a shape — and a table hides it. A map shows it before you go looking.
Global → country → province → entity. Three clicks, max, from the whole book to a single name.
What counts as “high risk” is your call — set it per sector, per region, and watch the map reclassify live.
The map repaints in real time as Drift Alerts fire. No batch refresh, no stale quarter-end snapshot.
PNG, PDF, or SVG for the board deck — with the audit manifest attached to the snapshot.
“Show me the map as of last quarter end.” Forensics integration rewinds the whole grid.
Overlay regulatory regimes — EU AI Act tier-1, OFAC sanctions — and read exposure by regime.
Everything the heatmap renders is queryable underneath — pull the same exposure grid as data, manifest and all.
from deino import Client client = Client(api_key="dno_live_...") grid = client.risk_maps.exposure( by=["sector", "region"], threshold=0.70, overlay="eu_ai_act", ) print(grid.hot_cells) # [(Sovereign, LATAM, 0.91), …] grid.export(format="pdf", path="board_q3.pdf") # snapshot + manifest, board-ready
Risk Maps doesn’t hold its own data — it renders what the live products beneath it already track on the shared ontology.
The data infrastructure beneath Risk Maps — the GNL and Drift Alerts — is live today; Risk Maps is the visualization layer on top. Enterprise customers get it automatically when V3 ships, no new contract. Talk to us →
Founder-led demos for design partners. A free tier is active today for the V1 products Risk Maps renders.