Cybersecurity and Digital Resilience
The Global Centre for Risk and Innovation (GCRI)
Model descriptions for Cybersecurity and Digital Resilience are published here once reviewed, with their assumptions, evidence and validation. They describe models; they are not live simulations.
Cybersecurity · Reviewed models and… · Run R-0690
same inputs, versioned
| R-6303 | Cybersecurity and… | v9.4 | 0.48 | Running |
| R-9012 | Software and… | v4.1 | 0.76 | Drift |
| R-4212 | Communications and… | v8.0 | 0.79 | Passed |
| R-9490 | Network science and… | v3.4 | 0.71 | Drift |
Cybersecurity and Digital Resilience · Build workspaceBuild workspace, in outline: domain structure with placeholder names and illustrative values, not a record.
Cybersecurity and Digital Resilience reviewed models are published descriptions of the models used in the cyber and digital resilience field, with their assumptions, data, validation and limits, built on methods such as cybersecurity and cryptography as well as software and safety-critical systems engineering. They describe models; they are not live simulations, and no output on them is a finding.
Fig.A programme from scoping to the owner's decision. Design, not a record.
For reviewed models and scenarios, 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.
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NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth
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For reviewed models and scenarios, 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.
Layers and dates
| Model class | Open examples | Question it answers | Validation |
|---|---|---|---|
| Attack-path analysis | MITRE ATT&CK-based modelling | How adversaries reach critical assets | Red-team exercises |
| Accumulation scenarios | Catastrophe-style cyber scenarios | Correlated losses across organisations | Past large incidents |
| Dependency network models | Provider dependency graphs | Concentration and cascade | Outage records |
| Vulnerability prioritisation | CVSS with exploitation data such as KEV | Which vulnerabilities to fix first | Exploitation records |
Analysis runs in Nexus Foundry; reviewed releases are listed here.
Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.
| Term | Definition |
|---|---|
| Model validation | Comparing model predictions with independent observations to judge fitness for a stated use. |
| Model card | A short document describing a model's intended use, training data, performance and limits. |
| Uncertainty quantification | Characterising and propagating the uncertainties in a model to state confidence in its outputs. |
| Surrogate model | A fast statistical model trained to approximate a slow simulation or experiment. |
The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.
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.