Exposure you can
see at a glance.
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.
The cell that matters, without the scroll.
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.
Sector × region drill-down
Global → country → province → entity. Three clicks, max, from the whole book to a single name.
Configurable thresholds
What counts as “high risk” is your call — set it per sector, per region, and watch the map reclassify live.
Drift-driven updates
The map repaints in real time as Drift Alerts fire. No batch refresh, no stale quarter-end snapshot.
Snapshot export
PNG, PDF, or SVG for the board deck — with the audit manifest attached to the snapshot.
Time-travel
“Show me the map as of last quarter end.” Forensics integration rewinds the whole grid.
Compliance overlay
Overlay regulatory regimes — EU AI Act tier-1, OFAC sanctions — and read exposure by regime.
The map is a view, not a silo.
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
The top layer of the whole stack.
Risk Maps doesn’t hold its own data — it renders what the live products beneath it already track on the shared ontology.
What are Risk Maps?
A live geo-sectoral heatmap of your firm’s exposure, for compliance officers and CROs who think in maps rather than tables. You drill from region to sector to entity, with every value sourced from the ontology and a full audit trail.
Where does the map data come from?
Risk Maps holds no data of its own — it renders what the live products beneath it already track on the shared ontology, repainting in real time as Drift Alerts fire. Everything the heatmap shows is also queryable underneath as data, with a manifest.
Is Risk Maps available now?
It’s a V3 roadmap product — the visualization layer on top. The data infrastructure beneath it, the GNL and Drift Alerts, is live today, and enterprise customers get Risk Maps automatically when V3 ships, with no new contract.
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 →
See your exposure on the map.
Founder-led demos for design partners. A free tier is active today for the V1 products Risk Maps renders.