Nexus StandardsMaster subsiteSectors
9 areas · /digital-ai/

Digital, Cyber and AI

Digital systems, cyber threats and AI models now sit inside the records and decisions of every other system. This subsite relates cyber resilience, AI governance, telecommunications and model documentation standards so that a model, a dataset or an incident can be identified, described and verified. Every artifact of these areas carries a UNI (Unique Nexus Identifier), which identifies and never certifies.

Open the area index See the coupling map
Digital, Cyber and AISubsite record
  1. Subsitenexustandards.com/digital-ai/
  2. StatusCreated in WordPress by the owner; publishing waits for the owner's go.
  3. Areas9 · 3 with a registry row
  4. Nexus StandardsNS-0, NS-9, NS-10, NS-11, NS-12, NS-1
  5. Open standards31
  6. Feeds19 · 0 admitted
  7. Couplings47 rows with 12 subsites
  8. Foundry systemnexq

Area entries are PROPOSED; publishing waits for the owner's go.

Areas
9
3 with a registry row
Nexus Standards
6
listed by the areas
Open standards
31
named and linked, never reproduced
Feeds
19
0 admitted · the rest pending
UNI
requested · not yet allocated
Status
PROPOSEDsubsite created · awaiting go
Last reviewed
area context bank
Cite this page

Nexus Standards (2026). Digital, Cyber and AI: master subsite of the Nexus Standards (PROPOSED areas). https://nexustandards.com/digital-ai/. Last reviewed 2026-10-17.

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01Area index

9 areas in Digital, Cyber and AI.

Every area of the subsite with its tier, status, the Nexus Standards it lists, the open standards it names, its feeds and its couplings. Area entries are PROPOSED; registry rows are named where they exist.

Area index · Digital, Cyber and AIFrom the context bank
  1. 01Cyber and digital risk standardsHazard and threat familiesStatusregistry · plannedNexus StandardsNS-0 · NS-9 · NS-10 · NS-11 · NS-12Open standards8Feeds4 0 admittedCouplings4
  2. 02AI and autonomous systems risk standardsHazard and threat familiesStatusproposedNexus StandardsNS-0 · NS-10 · NS-11 · NS-12Open standards5Feeds2 0 admittedCouplings4
  3. 03Frontier technology risk standardsHazard and threat familiesStatusproposedNexus StandardsNS-0 · NS-10 · NS-11 · NS-12Open standards4Feeds2 0 admittedCouplings4
  4. 04Digital, telecom and platformsSectors and industriesStatusregistry · plannedNexus StandardsNS-0 · NS-9 · NS-11 · NS-12Open standards6Feeds3 0 admittedCouplings4
  5. 05Cyber resilience and digital operational resilienceRisk disciplinesStatusproposedNexus StandardsNS-0 · NS-9 · NS-10 · NS-11 · NS-12Open standards6Feeds3 0 admittedCouplings4
  6. 06AI governance frameworks alignmentFrameworks and mandates alignmentStatusproposedNexus StandardsNS-10 · NS-11 · NS-1Open standards5Feeds2 0 admittedCouplings4
  7. 07Cyber and digital resilience law alignmentFrameworks and mandates alignmentStatusproposedNexus StandardsNS-10 · NS-11 · NS-9Open standards5Feeds3 0 admittedCouplings4
  8. 08ITU and digital connectivityMultilateral and institutional technical areasStatusproposedNexus StandardsNS-9 · NS-11Open standards3Feeds2 0 admittedCouplings4
  9. 09AI, models and agentsCross-cutting capabilitiesStatusregistry · plannedNexus StandardsNS-12 · NS-10 · NS-11Open standards6Feeds3 0 admittedCouplings4

Area index3 of 9 areas have a registry row; the rest are proposed areas with a full context entry and no registry row yet. Feed counts include sources pending admission.

02Coupling map

Digital, Cyber and AI among the other subsites.

47 coupling rows join this subsite's areas to 12 other subsites, counted from the systemicContext rows of the area context bank in both directions. Select a card on the canvas to trace it.

Canvas · couplings with the other subsitesDesign, not a record
Digital, Cyber and AI: couplings with the other subsitesSubsites whose areas record a coupling into Digital, Cyber and AI, the areas of Digital, Cyber and AI with the highest coupling counts, and the subsites its areas couple out to, counted from the systemicContext rows of the area context bank (PROPOSED). A reading aid, not a dependency proof.

Fig.Edge labels count coupling rows. GATE marks a subsite, DONE and RUNNING an area of this subsite. Tags give reading order only. Design, not a record.

Coupled subsiteRowsExample mechanism
Energy and Critical Infrastructure9Grid control depends on telecom networks and telecom sites depend on grid power and backup fuel, a two-way dependency that turns a single outage into a cascade.Energy utilities and grids to Digital, telecom and platforms
Finance, Insurance and the Economy7Banks depend on critical ICT third parties whose outages are operational-resilience events.Banking to Digital, telecom and platforms
Governance, Security and Society5Common driver: intrusion and influence operations combine in hybrid campaigns.Cyber and digital risk standards to Information integrity and trust
Industry, Trade and Supply Chains5Operational-technology networks and industrial software supply chains carry cyber risk into physical processes.Industry and manufacturing to Digital, telecom and platforms
Systemic Risks5Mechanism: some frontier technologies carry catastrophic tail risk.Frontier technology risk standards to Global catastrophic and existential risk standards
Trust, Verification and Assurance5Risk-tier obligations become NS-10 clauses evaluated by NS-11 attestations in the Trust, Verification and Assurance subsite, with INDETERMINATE where evidence is missing.AI governance frameworks alignment to Trust, Verification and Assurance
Hazards and Disaster Risk Reduction4Common driver: GNSS jamming and spoofing are deliberate interference threats.Space weather, spectrum and timing risk standards to Cyber and digital risk standards
Early Warning and Anticipatory Action2ITU-T X.1303 bis specifies CAP 1.2; the alerting area profiles CAP once, citing both OASIS and ITU-T publications.ITU and digital connectivity to Alerting and messaging
03Standards that apply

6 Nexus Standards across 9 areas.

Standards that apply · Nexus Standards across, areas downFrom the registry
33 listed of 54 pairs across 9 areas and 6 standards, from the area context bank (PROPOSED) and standards/INDEX.md.

Standards that applyA filled cell means the area's context entry lists that Nexus Standard. Context entries are PROPOSED; no cell is a conformance, certification or readiness statement.

04Context map

An example geography for this subsite.

Open Earth observation layers framed on north america, as an example geography for digital, cyber and ai: context for where its records live, never an assessment and never a statement of where the standards apply. Layers, dates and credits are on the map.

The interactive map needs JavaScript; the layer list and sources are below.

Layers 2

Connected activity

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.

Night-time lights and population density, the footprint of electrified, connected activity, framed on North America.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 EarthSources 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
  • 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.
  • 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

05Live feeds

19 sources named by the areas, every one honest about admission.

Provider, licence, delivery path and register status for each source. A source is live on a public page only after an owner decision admits it; until then it reads pending admission.

Every feed · pending admission

No legal register row admits any of these sources for live display on public pages yet, so nothing is read from them here. A register row that exists records the source for the governed GRIx path; admission for public pages is a separate owner decision.

Admitted
0
none yet
Register row exists
4
recorded for the GRIx path
Proposed row
15
terms to be recorded
Delivery
9 GRIx · 1 plugin · 0 browser · 9 snapshot
GRIx first, then plugin, browser-direct, snapshot
06Readiness

What GCRI Canada and the two institutions read here.

GCRI Canada evidence pathway

GCRI Canada

Cyber and digital risk standards · GCRI Canada may admit incident and vulnerability records with source, timestamp and verification status as research evidence on digital systemic risk; GCRI Canada decides under its own evidence and research rules, and no approval is…

AI and autonomous systems risk standards · GCRI Canada may admit evaluation and incident records with method, version and evaluator as research evidence; GCRI Canada decides under its own evidence and research rules, and no approval is implied.

Frontier technology risk standards · GCRI Canada may admit horizon-scanning and readiness records with source and method as research evidence; GCRI Canada decides under its own evidence and research rules, and no approval is implied.

6 more areas state what this pathway reads; each area page has its own line.

Open the GCRI Canada evidence pathway

Recognition pathway

The Global Risks Forum (GRF)

Cyber and digital risk standards · GRF may record organisations that publish attestations and advisories on the shared profiles as a trust dialogue item; GRF decides under its own recognition rules, and no recognition or endorsement is implied.

AI and autonomous systems risk standards · GRF may record organisations publishing model documentation on the shared profile as a dialogue item; GRF decides under its own recognition rules, and no recognition or endorsement is implied.

Frontier technology risk standards · GRF may record institutions that publish transition plans on the shared records as a dialogue item; GRF decides under its own recognition rules, and no recognition or endorsement is implied.

6 more areas state what this pathway reads; each area page has its own line.

Open the Recognition pathway

Capital pathway

The Global Risks Alliance (GRA)

Cyber and digital risk standards · GRA may read supply-chain attestation and control-evidence records when it considers digital risk in investments; GRA decides under its own capital-readiness rules, and no approval, rating or investment view is implied.

AI and autonomous systems risk standards · GRA may read AI risk-tier and evaluation records when it considers AI-dependent investments; GRA decides under its own capital-readiness rules, and no approval, rating or investment view is implied.

Frontier technology risk standards · GRA may read transition-readiness records when it considers technology risk in investments; GRA decides under its own capital-readiness rules, and no approval, rating or investment view is implied.

6 more areas state what this pathway reads; each area page has its own line.

Open the Capital pathway

Each institution decides under its own rules what it reads as evidence; no pathway is an approval, a readiness statement or investment advice.

07Indicators

11 indicators the areas track.

ITU Global Cybersecurity IndexGCI legal measures pillarLegal measures pillar of the Global Cybersecurity IndexNIST AI RMF 1.0GOVERN 1.1Legal and regulatory requirements involving AI are understood, managed and documentedNIST AI RMF 1.0GOVERN 1.6Mechanisms are in place to inventory AI systemsNIST CSF 2.0GV.SCCybersecurity Supply Chain Risk ManagementRDA FAIR Data Maturity ModelRDA-R1.2-01MProvenance information for training and evaluation dataSDG global indicator framework9.5.1Research and development expenditure as a proportion of GDPSDG global indicator framework9.5.2Researchers per million inhabitantsSDG global indicator framework9.c.1Proportion of population covered by a mobile network, by technologySDG global indicator framework17.6.1Fixed Internet broadband subscriptions per 100 inhabitantsSendai Framework MonitorG-3Number of people per 100,000 that are covered by early warning information through local governments or through national dissemination mechanismsWorld Bank WDIIT.NET.USER.ZSIndividuals using the Internet (% of population)

Indicator names and codes as their stewards publish them; values appear only from a governed GRIx source, never typed into a page.

08Working groups

9 working-group charters proposed, none chartered yet.

Each area proposes a working group with a scope, deliverables and liaison targets; a liaison is sought, never claimed, until the body confirms it in writing.

AreaWorking group scopeDeliverablesLiaison sought
Cyber and digital risk standardsThreat, vulnerability, attestation and incident records on open exchange formats, with control evidence for verification.34OASIS Cyber Threat Intelligence TC, OpenSSF, FIRST, ENISA
AI and autonomous systems risk standardsModel, evaluation, incident and deployment-context records crosswalked to AI governance frameworks.34NIST AI Safety Institute Consortium, OECD.AI Network of Experts, MLCommons, Partnership on AI
Frontier technology risk standardsHorizon-scanning, readiness and safeguard records for frontier technologies, without hazardous detail.34OECD Working Party on Bio-, Nano- and Converging Technologies, NIST Post-Quantum Cryptography project, WHO Science…
Digital, telecom and platformsProfile outage, warning-delivery, cyber and software supply-chain records for operators and platforms and crosswalk them to ITU, 3GPP and cyber instruments.34ITU-T Study Group 17, ITU-D Emergency Telecommunications, 3GPP, GSMA
Cyber resilience and digital operational resilienceRecords for ICT dependencies, testing and incidents with verification.34ENISA, FSB, FIRST, OpenSSF
AI governance frameworks alignmentMaintain the obligation-level crosswalk and AI clause library, tracking implementing acts, codes of practice and harmonised standards as they are published.33OECD.AI Policy Observatory (information exchange sought; none recorded), NIST AI programme (information exchange on AI…
Cyber and digital resilience law alignmentMaintain the cyber law crosswalk and clause library, tracking implementing acts, regulatory technical standards and guidance.33ENISA (information exchange sought; none recorded), NIST Cybersecurity Framework programme (information exchange…
ITU and digital connectivityDescribe ITU's public technical work accurately and develop connectivity and alert-dissemination profiles.22ITU-D Emergency Telecommunications division (information exchange sought; none recorded), ITU-T Study Group 17…
AI, models and agentsRecords for models, evaluations and agents used in risk products.34MLCommons, OECD.AI network of experts, NIST AI Safety Institute consortium, CEN-CENELEC JTC 21 via a national member
09Contribute

Help build Digital, Cyber and AI.

  1. 01

    Charter a working group

    Pick an area above, adopt its proposed charter and file it as a docket under NS-13; editors decide with written reasons. Develop a standard

  2. 02

    Correct or extend an area brief

    Every area entry is PROPOSED: a pull request against the area context bank names the change and its source, peer-reviewed or published statistics.

  3. 03

    Name a source

    Propose a feed with provider, licence and delivery path; Legal/IP records the terms and the owner decides admission. Agents never admit a source.

  4. 04

    Take part at the body

    Contribute to an external standard through its own body's channels; the outcome comes back here as a register change. Movement and contribution

10References

21 sourced references across the areas.

Peer-reviewed sources and published statistics as the area entries cite them, newest first within each type.

  1. peer-reviewedManaging extreme AI risks amid rapid progressScience · 2024
  2. peer-reviewedDual use of artificial-intelligence-powered drug discoveryNature Machine Intelligence · 2022
  3. peer-reviewedDatasheets for datasetsCommunications of the ACM · 2021
  4. peer-reviewedClosing the AI accountability gapACM FAT* 2020 · 2020
  5. peer-reviewedA Unified Framework of Five Principles for AI in SocietyHarvard Data Science Review · 2019
  6. peer-reviewedModel Cards for Model ReportingProceedings of the Conference on Fairness, Accountability, and Transparency (ACM) · 2019
  7. peer-reviewedThe global landscape of AI ethics guidelinesNature Machine Intelligence · 2019
  8. peer-reviewedThe Vulnerable World HypothesisGlobal Policy · 2019
  9. peer-reviewedCybersecurity in an Era with Quantum Computers: Will We Be Ready?IEEE Security & Privacy · 2018
  10. peer-reviewedThe Economics of Information SecurityScience · 2006
  11. published statisticsInternational AI Safety Report 2025UK Department for Science, Innovation and Technology (for the report's expert advisory panel) · 2025
  12. published statisticsMeasuring digital development: Facts and Figures 2024International Telecommunication Union · 2024
  13. published statisticsRegulation (EU) 2024/1689 laying down harmonised rules on artificial intelligencePublications Office of the European Union · 2024
  14. published statisticsThe NIST Cybersecurity Framework (CSF) 2.0NIST · 2024
  15. published statisticsArtificial Intelligence Risk Management Framework (AI RMF 1.0)NIST · 2023
  16. published statisticsDirective (EU) 2022/2555 (NIS2 Directive)European Parliament and Council · 2022
5 more references
  1. published statisticsPrinciples for Operational ResilienceBasel Committee on Banking Supervision · 2021
  2. published statisticsZero Trust Architecture (NIST SP 800-207)NIST · 2020
  3. published statisticsLifelines: The Resilient Infrastructure OpportunityWorld Bank · 2019
  4. published statisticsCyber LexiconFinancial Stability Board · 2018
  5. standardITU-T X.1303 bis: Common alerting protocol (CAP 1.2)International Telecommunication Union · 2014
11Risk standards and library

46 risk standards, 22 hazard families and the library.

The Nexus Risk Standards read in Digital, Cyber and AI, the NHS-1 hazard domains it carries and its library: scope, codes, schemas, conformance, governance, templates, crosswalks, change log and how to contribute.

46 standards

Risk standards

A, H, I, K, M, P, T and U

NHS-1 cyber

Information and cyber-physical systems

6 families

NHS-1 tech

Frontier and exponential technology

16 families

Library

Scope and taxonomy

Library

Codes and identifiers

Library

Schemas and data models

Library

Conformance and profiles

Library

Policy and governance

Library

Templates and implementation guides

Library

Crosswalks to external frameworks

Library

Change log and versioning

Library

How to contribute

12Learn and apply

Where Digital, Cyber and AI is taught, worked on and run.

Risk Academy disciplines that teach Digital, Cyber and AI, with their courses; the GCRI Canada, The Global Risks Forum (GRF) and The Global Risks Alliance (GRA) subsites that carry those disciplines; and the Nexus Foundry systems the standards name. Mappings are proposed for review (Risk Academy standards map, 2026-10-17); a link says a page on the same subject exists, never an endorsement or a conformance statement; framework names in course titles are named and linked, never reproduced.

Risk Academy

Disciplines and courses

13Questions

Questions and answers.

Is Digital, Cyber and AI a live subsite?
The owner created it in WordPress; its pages publish as drafts once the owner gives the go. The name is owner-confirmed.
Where do the areas come from?
From the area context bank, one PROPOSED entry per area written as an expert would brief a working group, sourced to published statistics and peer-reviewed references; the Nexus Standards lane owns the canonical registry.
Are any feeds live here?
No. Every feed reads pending admission until an owner decision admits it for public pages.
Nexus Standards

Build Digital, Cyber and AI with us.

Charter a working group, correct a brief or name a source. Area entries are PROPOSED content for the Nexus Standards registry; a UNI identifies and never certifies, and nothing on this site is a certification, an approval or a readiness statement.

Propose a change All twenty subsites

Nexus Standards documents CC BY 4.0 · tooling Apache-2.0 · counsel review pending (DEC-2026-10-16-NEXUS-STANDARDS-OPEN-LICENCE). External standards are named and linked under their own licences; a UNI (Unique Nexus Identifier) identifies, it never certifies. · Generated from the Nexus Standards corpus at commit 437ae044c5cb (2026-10-17); proposed and open.

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