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GRAFinancial Cyber and Operational ResilienceIn development
Financial Cyber and Operational Resilience · Financial-system transmission

Financial-system transmission

Operational disruption can travel through the financial system faster than financial stress. A cyber incident or outage at a shared provider can stop services at many firms simultaneously; a failure at one firm can block payments to others; and loss of confidence can turn an operational problem into a liquidity one. This page shows these channels at sector level. It complements the financial discipline overview.

Publisher
The Global Risks Alliance
Field
Cyber and digital resilience, Financial stability, Critical infrastructure
Status
In development
Service level
R0: information and enquiries

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Layers 2

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Latest available

NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth

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Drag to move. Ctrl or ⌘ and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.

For financial-system transmission, in GRA's spatial-finance reading, the map opens on night lights and population density with night lights tonight from NASA GIBS, framed on World; 4 further NASA layers wait in the list.Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.

Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · NASA/NOAA VIIRS · CIESIN/Columbia, NASA SEDAC HBASE · GDACSSources and licences

  • We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). CC BY 4.0
  • VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. Public domain
  • © OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). ODbL
  • Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, © OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.
  • Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, © MapLibre contributors.
  • Observed (EO): NASA/NOAA VIIRS (Suomi NPP). We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).
  • Context: CIESIN/Columbia, NASA SEDAC HBASE. Center for International Earth Science Information Network (CIESIN), Columbia University, and NASA Socioeconomic Data and Applications Center (SEDAC): Global Human Built-up And Settlement Extent (HBASE) 2010; Seto, Guneralp and Hutyra 2012, Global Grid of Probabilities of Urban Expansion to 2030; Global Urban Heat Island (UHI) Data Set, 2013.
  • Live: GDACS (EC JRC / UN OCHA) Events are indicative, not official warnings.
  • Optional layers (4 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.

Layers and dates

  • Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026
  • Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
  • Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 Oct 2026
  • True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026
  • Land surface temperature, day, 8-day composite: VIIRS NOAA-20 Level 3, 8-day, NASA LANCE · 14 Sep 2026
  • Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024

STEM methods
4
Canonical methods this field applies
Topics
8
Subject pages in the field
Counterparts
10
Platforms in shared fields at GCRI, GRF and GRA
Report series
2
Nexus Reports series it contributes to
01In brief

The short answer.

Risk transmission in Financial Cyber and Operational Resilience is the path by which physical, transition, technology and systemic shocks reach the sector and travel onward through balance sheets, markets and the real economy. Analysis uses aggregated, sector-level indicators such as important business services identified and impact tolerances set; it assesses no individual firm and is not investment advice.

02Canvas

One field, three institutions.

Canvas · one field, three institutionsDesign, not a record
One field, three institutions: Financial Cyber and Operational Resilience and its counterpartsGCRI studies the field as science, GRF governs and convenes it, GRA builds shared financial understanding; the Nexus Universe tests work across them and the competent authorities decide. Design of the arrangement, not a record.

Fig.How GCRI, GRF and GRA share one field while the authorities decide. Design, not a record.

03Console

Field overview, in outline.

The working screen behind this subject: its structure, terms and states. Names are placeholders and values illustrative.

Field overview: the screen's structure, terms and states for Operational resilience.Placeholder names and illustrative values; a design, not a record or a live system.
04Real to financial

How technology failures become financial stress.

  1. 01

    Common provider

    An outage or compromise at a cloud, software or data provider affects every firm that relies on it at the same moment, removing the diversity that would normally let some firms keep serving customers while others recover.

  2. 02

    Payment and settlement links

    A firm that cannot send payments leaves others short of expected funds, which can spread liquidity strain.

  3. 03

    Data corruption

    Corrupted or manipulated data can propagate to firms that consume it, undermining trust in balances and positions.

  4. 04

    Confidence

    Customers and counterparties may withdraw funds or reduce exposure to a firm seen as unable to operate.

05Paths

How a cyber event becomes a financial one.

  • Service outage: customers cannot pay or trade.
  • Data integrity loss: positions and balances are uncertain, so activity stops.
  • Confidence: depositors and counterparties withdraw.
  • Insured loss: cyber insurance claims correlate across policyholders sharing a provider.
06Governance

Public dimensions.

Financial cyber resilience depends on telecom, power and public cloud governance outside finance. Those questions continue at GRF cyber and public infrastructure; supply chain security at GCRI supply chain security.

07Physical dependencies

Infrastructure beneath finance.

Power

Electricity

Data centres and branches depend on the grid and on backup power with limited fuel.

Networks

Telecommunications

Trading and payments depend on networks and cables that can fail or be damaged.

Hazards

Natural events

Floods, heat and storms can affect data centres and operations sites in the same region.

08Amplifiers

What makes transmission stronger.

Recovery can also be sequential: a firm may restore its own systems only to find that counterparties, providers or market infrastructures are still down. Transmission is stronger when many firms depend on the same few providers, when recovery depends on systems that were themselves affected, when incidents are detected late and when communication fails. Customers feel the effects directly: payments that do not arrive, cards that do not work, accounts that cannot be accessed. Small businesses and people with few alternatives are most exposed.

09Analysis

Sector-level, aggregated, with limits.

Analysis uses public and aggregated information and network science and contagion methods. Analysis is sector-level and educational. It does not assess individual firms, test their controls or certify their resilience. Detailed dependency data is commercially and security sensitive, so published maps describe patterns rather than named relationships. The Nexus Universe theme on third-party concentration failure is designed to exercise these channels.

10Key terms

Terms used on this page.

Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.

TermDefinition
Transmission channelThe route by which a shock reaches financial institutions' balance sheets.
ContagionTransmission of losses or stress from one institution or market to others.
Second-round effectsFeedback from bank losses to the economy, such as tighter credit deepening a downturn.
Common exposureHoldings of the same or similar assets by several institutions, which makes their losses move together.
11Sources

Where this page's references lead.

The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.

12Questions

Questions and answers.

Is competitor data shared?
No. Any data from firms is aggregated before use. Competition safeguards are designed into GRA programmes and set out in a written competition policy that counsel reviews before membership opens.
Are named providers identified as risks?
No. Published work describes concentration patterns, not named providers or firms.
Who oversees these risks officially?
Financial supervisors, central banks and, in some jurisdictions, authorities that oversee critical technology providers. GRA is not a supervisor.
Why can operational stress move faster than financial stress?
Because a shared system can fail for everyone at the same moment. Financial contagion usually works through balance sheets over days or weeks; an outage reaches every dependent firm within minutes.
Financial Cyber and Operational Resilience

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The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.

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