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Cybersecurity and Digital Resilience · Dependencies and consequences

Dependencies and consequences

Digital systems sit underneath almost every other system, and they depend in turn on electricity, telecommunications, hardware supply chains and skilled people. This page maps the main dependencies, explains how digital failures travel into physical, economic and social harm, and names the platforms across the Consortium that study, govern or finance the connected systems.

Publisher
The Global Centre for Risk and Innovation
Field
Cyber and digital resilience, Critical infrastructure
Status
In development
Service level
R0: information and enquiries

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Layers 3

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Latest available

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

Loading the latest NASA imagery.

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 dependencies and consequences, in GCRI's spatial-intelligence reading, the map opens on night lights, population density and true-colour imagery with true colour from NASA GIBS, framed on Europe; every other NASA layer, live feed and forecast waits in the layer 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 · Copernicus Sentinel-2 L2A · NASA HLS S30Sources 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): Copernicus Sentinel-2 L2A (contains modified Copernicus Sentinel data 2026), Microsoft Planetary Computer
  • Observed (EO): NASA HLS S30 (contains modified Copernicus Sentinel data 2026). 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).
  • Optional layers (35 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
  • True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026
  • Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024
  • Enhanced vegetation index, rolling 8 days: MODIS Terra EVI, NASA LANCE · 13 Oct 2026
  • Vegetation greenness (NDVI), rolling 8 days: MODIS Terra NDVI, NASA LANCE · 13 Oct 2026

GeographyFor dependencies and consequences, in GCRI's spatial-intelligence reading, the map opens on night lights, population density and true-colour imagery with true colour from NASA GIBS, framed on Europe; every other NASA layer, live feed and forecast waits in the layer list.

STEM methods
6
Canonical methods this field applies
Topics
8
Subject pages in the field
Counterparts
7
Platforms in shared fields at GCRI, GRF and GRA
Report series
2
Nexus Reports series it contributes to
01In brief

The short answer.

Dependencies and consequences in Cybersecurity and Digital Resilience describe how cyber and digital resilience as well as critical infrastructure connect to other systems through physical, economic, social and ecological links, and how stress travels along them toward fields such as those of Disaster and Crisis Governance and AI and Digital Governance. Every dependency map states its assumptions, data and uncertainty; it describes connections, not a forecast.

02Canvas

One field, three institutions.

Canvas · one field, three institutionsDesign, not a record
One field, three institutions: Cybersecurity and Digital 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 Cybersecurity.Placeholder names and illustrative values; a design, not a record or a live system.
04What digital systems depend on

The foundations beneath the software.

Power

Electricity

Data centres, networks and devices need continuous power. Grid failures take digital services down, and backup power has limits. See Critical Infrastructure.

Networks

Telecommunications

Fibre, submarine cables, mobile networks and satellite links carry data. Damage at a few landing points or exchanges can isolate regions.

Supply

Hardware and software

Semiconductors, firmware and open-source libraries come from concentrated supply chains that are hard to verify.

05What depends on digital systems

How failure travels outward.

Physical systems depend on digital control. Water treatment, power distribution, pipelines, rail signalling and building systems use industrial control systems; compromise or failure can stop operations or, in the worst cases, create safety hazards. Healthcare depends on electronic records, imaging, laboratory systems and connected devices. Logistics depends on scheduling and tracking systems, so a digital outage at a port or carrier quickly becomes a physical backlog.

Economic and social systems depend on digital identity, payments and communications. Outages in payment systems interrupt commerce and benefits; data breaches expose people to fraud; disruption of information systems can weaken public trust. Financial transmission of these effects is studied at Financial Cyber and Operational Resilience and Payments and Market Infrastructure at The Global Risks Alliance (GRA).

06Cascades

Typical chains of failure.

  1. 01

    Provider outage

    A failure at a cloud or identity provider stops many customers at once, across sectors that have no direct relationship with each other.

  2. 02

    Ransomware in a hospital

    Loss of clinical systems forces diversion of patients, delays diagnosis and spreads load to neighbouring hospitals.

  3. 03

    Compromised update

    Malicious code inserted into a trusted software update reaches every customer that installs it, bypassing perimeter defences.

  4. 04

    Grid and cyber together

    A power outage disables monitoring and communications just when they are needed to manage the outage; this is the theme of the platform's cyber-physical outage exercise.

07Key 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
InterdependencyA two-way dependency between infrastructures, such as power needing telecoms for control while telecoms need power to run.
Cascading riskRisk that a failure in one system or component triggers failures in others that depend on it.
Compound eventTwo or more hazards or drivers occurring together or in sequence whose joint impact exceeds what either would cause alone, such as drought followed by intense rain; IPCC assessments use the term.
Dependency mappingTracing the people, processes, technology, facilities and suppliers a service relies on.
08Method and governance

How links are analysed, and who decides.

Dependency analysis uses network science and contagion and reliability and resilience engineering, with stated assumptions and uncertainty. Decisions on regulation and crisis coordination belong to competent authorities; dialogue among them is convened at Disaster and Crisis Governance and AI and Digital Governance at The Global Risks Forum (GRF).

09Questions

Questions and answers.

Is a dependency map a forecast?
No. It describes how systems are connected and how failure could travel. Scenarios are labelled as such and carry their assumptions.
Are dependency maps public?
Only at a level of detail that does not create a target list. Sensitive detail about specific facilities or providers is not published.
Why include power in a cyber map?
Because digital services cannot run without electricity, and electricity systems increasingly depend on digital control. The two must be analysed together.
Cybersecurity and Digital Resilience

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