Static view: the interactive graph runs where this page’s scripts and WebGL can; every node is also linked on this page.
Reports · Nexus Standards · Sector
sector
Digital, cyber and AI in Reports
Digital systems, cyber threats and AI models now sit inside the records and decisions of every other system. This page shows the series it feeds, the evidence behind it and how to contribute.
- Series
- 3
- Systems
- 5
- Areas
- 9
What this area brings to the editions.
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.
From Foundry evidence to the series.
The evidence, step by step, from the systems this area reads to the series it feeds.
How Digital, cyber and AI reaches Reports: what it reads, how it reads it, the sealed cut and the series it feeds.
| Step | What happens | Source |
|---|---|---|
| 01 What it reads | Digital, cyber and AI reads NXS-NXQ (software, models and capability lifecycle) and NXS-NET (network topology and continuity): governed sources with their releases, never a value without its source. | |
| 02 The cut is sealed | Each quarter the evidence is sealed in one cut, so OBSERVED, REPORTED and ESTIMATED values stay apart and every edition can be rebuilt. | |
| 03 The series it feeds | The cut feeds Methods and Technical and Global Sector Risk and Resilience, from the Baseline Edition 2026 into the quarterly series. | |
| 04 Who decides | Decisions stay with the authorities that hold them, under their own rules; an edition informs a decision and never makes it. |
A teaching model of the evidence path, not a forecast and not a record of any run; the systems, methods and series named come from the registries. Sources: Digital, cyber and AI in Reports (2026); Digital, cyber and AI home (2026).
The series it feeds, and what backs each.
| Series | Foundry systems it draws on | Academy disciplines | Series home |
|---|---|---|---|
| Methods and Technical | NXS-GRX (canonical data, provenance and risk) the methods, indicators and validation studies behind each product NXS-LAB (research, experiments and simulations) method comparisons under transparent test conditions NXS-NXQ the fitness record of models and tools the methods use | Quantitative risk analysis and statistics Model risk and validation Risk indicators and composite indices | Methods and Technical series home |
| Global Sector Risk and Resilience | NXS-GRX one sector’s structure, dependencies and concentration measures NXS-EOP (earth observation and digital twins) observed change in the sector’s assets and their surroundings | Trade, supply chains and geoeconomics Critical infrastructure and lifelines | Global Sector Risk and Resilience series home |
| Evidence Brief | NXS-GRX the evidence behind one question, with its strength and gaps NXS-POR (public, client and partner delivery) the public-safe release of a brief and its corrections NXS-DSS (decision cases and deliberation) what the evidence settles for the decision in hand | Research, evidence and the science-policy interface Risk communication and risk literacy Uncertainty and decision making | Evidence Brief series home |
The 9 areas inside Digital, cyber and AI.
Each area is a section of this Nexus Standards subsite. Its parts, indicators and working group feed the standards progress reported each quarter.
- capabilitiesNS-12 · NS-10 · NS-11AI, models and agentsSpecifies the records an AI model, statistical model or agent must carry before its outputs enter risk products: model cards, dataset sheets, evaluation records with…
- frameworks alignmentNS-10 · NS-11 · NS-1AI governance frameworks alignmentMaps the obligations and principles of the main AI governance instruments to Nexus model and system records and machine-readable clauses: the OECD AI Principles, the…
- frameworks alignmentNS-10 · NS-11 · NS-9Cyber and digital resilience law alignmentMaps cybersecurity and digital operational resilience obligations to Nexus clauses and evidence: NIS2 (Directive (EU) 2022/2555), DORA (Regulation (EU) 2022/2554),…
- hazard familiesNS-0 · NS-9 · NS-10 · NS-11 · NS-12Cyber and digital risk standardsCyber threats exploit shared software, cloud concentration and interconnected supply chains, so one vulnerability or provider outage can propagate across thousands of…
- hazard familiesNS-0 · NS-10 · NS-11 · NS-12AI and autonomous systems risk standardsAI and autonomous systems are being deployed into decisions about credit, health, infrastructure and security faster than their failure modes are understood, and…
- hazard familiesNS-0 · NS-10 · NS-11 · NS-12Frontier technology risk standardsBiotechnology, quantum computing, advanced robotics and neurotechnology can create risks that outpace governance, including dual-use misuse and abrupt obsolescence of…
- multilateral areasNS-9 · NS-11ITU and digital connectivityDescribes the public technical work of the International Telecommunication Union relevant to risk: ITU-T X.1303 bis (CAP), emergency telecommunications, the ICT…
- risk disciplinesNS-0 · NS-9 · NS-10 · NS-11 · NS-12Cyber resilience and digital operational resilienceDigital operational resilience regimes require institutions to withstand, respond to and recover from ICT disruptions, including failures of third-party providers on…
- sectorsNS-0 · NS-9 · NS-11 · NS-12Digital, telecom and platformsThe digital, telecom and platforms section of the Digital, Cyber and AI subsite covers network operators, platforms and software providers: how outage, public-warning…
Parts and open standards applied here.
Nexus Standards parts are preparatory working drafts (2026); external standards are cited, never reproduced.
The systems, methods and teaching behind it.
- NXS-NXQNXS-NXQNXS-NXQRooms: Capabilities, Competence.
- NXS-NETNXS-NETNXS-NETRooms: Topology, Continuity.
- NXS-NSF (trust, authorisation and assurance)NXS-NSFNXS-NSFRooms: Authority, Assurance.
- NXS-LABNXS-LABNXS-LABRooms: Experiments, Benchmarks.
- NXS-SIG (signal, spectrum, timing and PNT)NXS-SIGNXS-SIGRooms: Spectrum, PNT Integrity.
Where the same subject is reported elsewhere.
- Coupled areaNexus StandardsData and datasetsTraining and evaluation datasets are cited by UNI@version with Croissant or datasheet metadata, so a dataset correction marks dependent evaluations as stale.
- Coupled areaNexus StandardsIdentity, authorisation and zero trustAgents act only as workloads under explicit agent mandates and can file dockets but never adopt, allocate or attest.
- Coupled areaNexus StandardsAI governance frameworks alignmentModel and agent records map to the governance obligations crosswalked in the alignment area of the Digital, Cyber and AI subsite.
- Coupled areaNexus StandardsScenarios, models and foresightSimulation and foresight models reuse the model card and evaluation record, adding scenario provenance.
- Coupled areaNexus StandardsAI, models and agentsModel cards, dataset sheets and evaluation records profiled in that area are the evidence the AI RMF MEASURE function and EU AI Act technical documentation call for.
- Coupled areaNexus StandardsPact for the Future alignmentThe Global Digital Compact’s AI commitments are indexed there; this section maps them to concrete lifecycle obligations.
- Coupled areaNexus StandardsCyber and digital resilience law alignmentThe Global Cybersecurity Index’s legal measures pillar is a public indicator of the cyber-law landscape mapped in that section.
- Coupled areaNexus StandardsTrust, verification and assuranceRisk-tier obligations become NS-10 clauses evaluated by NS-11 attestations in the Trust, Verification and Assurance subsite, with INDETERMINATE where evidence is missing.
Contribute on Digital, cyber and AI.
Evidence, a case, a correction, a method or profile input on this subject. The composer tags it with this area and its series.
Write a contribution the editor can act on.
Say what it is, where its record is kept and on which licence. It arrives tagged with this page, its area and its gateway, so it reaches the editor who owns it.
Your email opens with the subject and a template already filled in for GW-STD.
- Evidence
- Correction
- Case study
- Analysis or method
- Peer review
- Translation
- Profile input
Never send personal data or sensitive infrastructure detail. A contribution is reviewed before use; sending it confers no authorship or editorial rights.
Open science for Digital, cyber and AI.
How a contribution on this subject is deposited, identified, credited, licensed and found, and the metadata for it prefilled from this page.
Digital, cyber and AI’s open record
- Area
- Digital, cyber and AI
- Feeds
- Methods and Technical, Global Sector Risk and Resilience, Evidence Brief
- Record
- A UNI for every accepted contribution; cited with its DOI in the edition that uses it
- Links
- isSupplementTo the edition it informs; isNewVersionOf its earlier version
- Licence
- CC BY 4.0 (SPDX CC-BY-4.0) for original material; metadata CC0 1.0
Credit and identity
- ORCID
- Your iD in the deposit and the contribution record; DataCite can then add the work to your ORCID record
- ROR
- Your organisation by its ROR identifier, never by a typed name alone
- CRediT
- Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualisation, Writing, review and editing
- Account
- None needed to contribute; never a password
Find and follow
Search the open indexes for Digital, cyber and AI; software is cited by its SWHID from Software Heritage. Annotation is your choice: Hypothesis opens this page in its own viewer.
Mirrors and harvest
The DOI is canonical. At release each signed bundle is also given an IPFS content identifier and a bloxberg anchor as mirrors; both are listed in the record once they exist. Zenodo exposes every record over OAI-PMH, and reviews and endorsements can arrive through COAR Notify where the repository supports it.
{
"metadata": {
"resource_type": {
"id": "dataset"
},
"title": "Evidence on Digital, cyber and AI for Nexus Reports",
"publication_date": "YYYY-MM-DD",
"creators": [
{
"person_or_org": {
"type": "personal",
"family_name": "Your family name",
"given_name": "Your given name",
"identifiers": [
{
"scheme": "orcid",
"identifier": "0000-0000-0000-0000"
}
]
},
"affiliations": [
{
"id": "ROR identifier of your organisation"
}
]
}
],
"description": "What it is, where its record is kept and how it bears on Digital, cyber and AI in Nexus Reports.",
"rights": [
{
"id": "cc-by-4.0"
}
],
"subjects": [
{
"subject": "Nexus Reports"
},
{
"subject": "Digital, cyber and AI"
},
{
"subject": "sector"
}
],
"related_identifiers": [
{
"identifier": "https://nexustandards.com/nexus-reports/areas/digital-cyber-and-ai/",
"scheme": "url",
"relation_type": {
"id": "issupplementto"
},
"resource_type": {
"id": "other"
}
}
],
"version": "1.0.0"
},
"custom_fields": {},
"access": {
"record": "public",
"files": "public"
},
"files": {
"enabled": true
},
"parent": {
"communities": {
"default": "nexusreports"
}
}
}Releases for this area.
Releases tagged to this area appear here once released.
Send evidence on Digital, cyber and AI.
Reports is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.
- EmailGateway GW-STDSend it from this pageEvidence, a correction, a case, a method, a review, a translation or profile input. It arrives tagged with this page, so the editor who owns it receives it.
- ZenodoOpen depositDeposit it and submit to the communityPublish your own record on Zenodo with your ORCID iD, then submit it to the Reports community there. Curators review it; the DOI stays yours.
- ReportsNexus StandardsSee every way to contributeThe contribution types, how each is reviewed, what credit you receive, the licence and what is never accepted.
Never send personal data, sensitive infrastructure detail or anything you have no right to share. A contribution is reviewed before use; sending it confers no authorship or editorial rights, and sponsorship never buys a finding.
Around the reports at Nexus Standards.
Bring what you know to the next edition.
Every quarter closes on a sealed evidence cut. Contributions received before the cut are reviewed for that edition; later ones wait for the next.
Legal documents.
Maps, data and figures on this site are shown for context and general information. They are not advice, forecasts or warnings; the limits of the information are set out in the Disclaimers and Data Notices.