One kernel for risk intelligence
The kernel resolves context, finds the right governed science, runs it and composes products that keep every input’s evidence, supported claim level and correction path.
What the kernel does
The risk engine sits over the Foundry systems and does not duplicate NXS-GRX (canonical data, provenance and risk) risk science; it composes what the science already produced.
解析
Places, times, assets and portfolios resolve to UNIs, with every source assertion kept.
Discover and route
Capabilities are found by stable ID and version, never by title, and routed by latency and scientific assurance.
Run and compose
A dependency plan runs on governed NXS-GRX kernels; products compose across domains on the risk product graph.
Project and correct
Products project to the form each client needs, and a correction upstream supersedes every dependent product.
From request to product
Every composition is a governed run: the policy gate refuses with a type, the assurance gate fails closed, and the product carries its lineage.
使用风险引擎组合风险情报产品
End to end on the longest path: about 1.1 h of proposed target service levels, before the jobs that run with no fixed end. Gates wait for the people named; bars with a fading end have no fixed length.
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Resolve contextContext · Risk engine · instantPlace, time, asset or portfolio resolved to UNIs · Purpose and tenant scope bound to the request · Source assertions kept, never merged silentlyRisk engineNS-1 UNI catalogue
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Purpose and rights check approvalContext · Identity and policy authority · automaticIdentity and purpose verified · Rights, sovereignty and disclosure policy applied · Refusal is typed, never silentFoundryLicence register
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Discover capabilitiesPlan · Risk engine · instantCapabilities found by stable ID and version, never by title · Implementation and release state read per capability · Held capabilities excluded风险引擎经测试的模型内核
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Route by quality of intelligencePlan · Risk engine · instantPaths scored on latency class and scientific assurance · Fastest path that meets the assurance asked for · Trade-off recorded风险引擎
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Compile the DAG planPlan · Risk engine · instantDependencies ordered topologically · Cycles refused · Plan versioned and hashed风险引擎NXS-GRX 运行服务
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Run governed science matrix ·Run · NXS-GRX run service · operationalEach node runs on its bound kernel · Seeds, inputs and versions recorded · Failures stay failuresNXS-GRX 运行服务经测试的模型内核蒙特卡罗引擎
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Compose across domainsRun · Risk engine · instantProducts joined on the risk product graph · Weakest assurance carried forward · Every upstream evidence reference kept风险引擎来源追溯(W3C PROV)
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Evidence and assurance gateCheck · Risk engine · automaticSupported claim level never raised above its inputs · Missing evidence fails closed as
INSUFFICIENT_EVIDENCE· High-reliance projections need complete evidenceVerification engineProvenance (W3C PROV) -
Project the productDeliver · Risk engine · instantScalar, table, series, distribution, features, network or evidence pack · Agent-context, feature-vector and compact forms · Each projection carries its UNI and lineage风险引擎公开截止数据 API矢量瓦片
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Lineage and correctionDeliver · Risk engine · continuousDerivation and composition edges recorded · A superseded input marks every dependent product SUPERSEDED · Stale intelligence never stays current更正记录PostgreSQL 账本(行级安全)
| 产出物 | 作业 | 执行方 | 阶段 |
|---|---|---|---|
| Resolved context | Resolve context | 风险引擎 | 背景 |
| Policy decision | Purpose and rights check | Identity and policy authority | 背景 |
| Capability set | Discover capabilities | 风险引擎 | Plan |
| Route decision | Route by quality of intelligence | 风险引擎 | Plan |
| Execution plan | Compile the DAG plan | 风险引擎 | Plan |
| Upstream products | Run governed science | NXS-GRX 运行服务 | Run |
| Composite product | Compose across domains | 风险引擎 | Run |
| Assurance record | Evidence and assurance gate | 风险引擎 | 核查 |
| Projection | Project the product | 风险引擎 | 交付 |
| Lineage graph | Lineage and correction | 风险引擎 | 交付 |
| Correction notices | Lineage and correction | 风险引擎 | 交付 |
The kernel never upgrades science
- Supported claim level
- A composite is bounded by the supported claim level of its inputs. An integrated engine output stays integrated; it never becomes institutional acceptance.
- 保证
- Composition carries the weakest scientific assurance of its inputs and every upstream evidence reference.
- Missing evidence
- High-reliance projections fail closed as
INSUFFICIENT_EVIDENCEinstead of inventing a value. - 更正
- Superseding an upstream product marks every dependent composition SUPERSEDED, so stale intelligence cannot stay current.
- Non-claims
- The kernel issues no official warning, certifies no engineering, prescribes no treatment, executes no financial transaction and actuates no external system.
谁决定什么
| 权限 | Owns |
|---|---|
| NXS-GRX | Canonical governed risk data, scientific products and evidence. |
| Identity and policy authority | Identity, purpose, rights, sovereignty, disclosure and claim boundaries. |
| Compute authority (NXS-COR (compute, nodes and runtimes)) | Execution placement, runtime and infrastructure lifecycle. |
| Capability lifecycle authority | Software, model and agent capability lifecycle. |
| Operational map authority | Operational map and common operating picture composition. |
| 风险引擎 | Composes, routes and projects governed risk intelligence. It does not manufacture scientific truth. |
| External institutions | Keep legal, regulatory, emergency, warning, medical, financial and other consequential authority. |
15 kernel products
3 of 15 products are release-held until their science and assurance evidence is complete. Products project to 50 kinds, from scalars and tables to rasters, meshes, networks, digital-twin deltas and evidence packs.
| Product | 功能 | Product kinds | 状态 |
|---|---|---|---|
| the risk engineunrisk.command | Operational entry surface for kernel status, model registry coverage, active compositions, products, corrections and integration posture. | status, capability graph, risk product graph | Integrated |
| NXS-STU (composition, dashboards and workflows) Composerunrisk.nexus-composer | Build arbitrary domain × lens × scenario × Chronotope compositions and compile them into evidence-bound scientific execution graphs. | time series, data cube, dependency graph, scenario tree, ensemble | Integrated |
| Chronotope Studiounrisk.chronotope-studio | Construct and inspect ordered observation, valid, forecast, scenario and transaction-time frames for cross-engine Nexus computation. | time series, trajectory, scenario tree | Integrated |
| model registryunrisk.risk-master | Search the complete NXS-GRX model registry, inspect stable capability IDs, methods, evidence, VVUQ obligations, implementation state and execution availability. | capability graph, model diagnostic, evidence pack | Release held |
| Scientific Runsunrisk.scientific-runs | Provider-neutral orchestration of fast kernels and durable Julia, Python, R and HPC scientific runs through canonical NXS-GRX execution authorities. | model diagnostic, ensemble, Monte Carlo sample, evidence pack | Release held |
| Risk Product Graphunrisk.product-graph | Inspect polymorphic risk products, derivation edges, provenance, evidence, uncertainty, corrections and supersession dependencies. | scalar, vector, matrix, tensor, table, time series, distribution, raster, coverage, data cube, mesh, network graph, trajectory, 3d scene, evidence pack | Integrated |
| Assuranceunrisk.assurance | Inspect numerical verification, calibration, validation, applicability, uncertainty decomposition, benchmarks and claim ceilings without promoting software state into scientific truth. | model diagnostic, benchmark result, evidence pack | Release held |
| Builder APIunrisk.developer | Discovery, API contracts, typed SDK metadata, templates, protocol profiles and semantic-conformance tooling for building any risk-aware application. | SDK manifest, API manifest, protocol profile, template | Integrated |
| Integration Studiounrisk.integration-studio | Discover and validate risk-intelligence projections for web, mobile, cloud, GIS, OT, IoT, XR, robotics, vehicles, digital twins, analytics and future platforms. | integration profile, conformance report | Integrated |
| Agentic Riskunrisk.agentic | Chronotope and evidence-bearing agent collaboration for querying, challenging, explaining and composing risk intelligence without granting agents truth or actuation authority. | risk agent context, evidence pack, time series | Integrated |
| Spatial Riskunrisk.spatial | Risk projections for Maps, GIS, digital twins, routes, fields, volumes, trajectories and spatial-computing clients while preserving actual spatial support and geometry provenance. | raster, coverage, vector features, vector tiles, mesh, point cloud, trajectory, route, 3d scene, digital twin delta | Integrated |
| Industrial Riskunrisk.industrial | Read-only risk-intelligence projection for critical infrastructure, industrial control, asset management and operational technology environments. | risk object, time series, dependency graph, state transition | Integrated |
| Edge Runtimeunrisk.edge | System-Pack-driven risk-intelligence deployment for regional, national, institutional, site, vehicle and device edge with explicit staleness and degraded-state semantics. | system pack, risk product cache, correction feed | Integrated |
| Risk Packsunrisk.packs | Versioned semantic, science, integration, policy and assurance compositions for technologies, disciplines, industries and deployment profiles. | domain pack, science pack, integration pack, policy pack, assurance pack | Integrated |
| Operationsunrisk.operations | Operational truth for plans, scientific runs, composition coverage, event subscriptions, corrections, materiality and safe scientific observability. | execution record, correction record, observability summary, subscription | Integrated |
35 frontier science and technology domains
The kernel’s domain registry covers the frontier technologies whose risks the index tracks, so a capability, product or pack always names its domain.
| 领域 | Subdomains | Converges with |
|---|---|---|
| Artificial intelligence, machine learning and agentic systems | foundation models, multimodal AI, scientific ML, agentic AI, reinforcement learning, AI safety, AI assurance | – |
| Advanced computing and computational infrastructure | HPC, GPU accelerators, edge computing, cloud, neuromorphic, photonic computing, confidential computing | – |
| Semiconductors, microelectronics and chip systems | advanced nodes, chiplets, 3D integration, power electronics, RF, MEMS, advanced packaging, EDA | – |
| 量子技术 | quantum computing, sensing, networking, communications, metrology, materials | – |
| Advanced communications and networked systems | 5G-Advanced, 6G, NTN, AI-RAN, O-RAN, MEC, optical networks, PNT | – |
| Cybersecurity, cryptography and privacy engineering | zero trust, post-quantum cryptography, confidential computing, OT security, identity, privacy engineering | – |
| Data and distributed digital infrastructure | data fabrics, knowledge graphs, distributed ledgers, DePIN, streaming, federated data | – |
| Robotics, autonomy and physical AI | industrial robotics, humanoids, UAS, autonomous systems, swarm robotics, field robotics | – |
| XR, spatial computing, human-machine interfaces and neurotechnology | AR, VR, XR, smart glasses, BCI, haptics, spatial interfaces | – |
| Biotechnology, genomics and synthetic biology | genomics, gene editing, synthetic biology, cell engineering, biofoundries, computational biology | – |
| Medical technology and computational health | digital health, medical devices, computational medicine, diagnostics, public health intelligence | – |
| Advanced materials and nanotechnology | nanomaterials, metamaterials, composites, 2D materials, smart materials | – |
| 先进制造 | additive manufacturing, digital manufacturing, industrial automation, precision manufacturing, bio-manufacturing | – |
| Advanced energy systems | fusion, fission, renewables, storage, hydrogen, grid technologies, carbon management | – |
| Climate and carbon technologies | climate intervention, carbon removal, MRV, adaptation technology, climate modelling | – |
| Earth observation and geospatial intelligence | remote sensing, SAR, hyperspectral, geodesy, GIS, digital Earth | – |
| 空间系统 | satellites, constellations, launch, in-space servicing, space situational awareness, space communications | – |
| Aerospace and propulsion | advanced air mobility, hypersonics, electric propulsion, rocket propulsion, uncrewed aviation | – |
| Future mobility | connected vehicles, autonomous vehicles, rail automation, maritime autonomy, micromobility | – |
| Chemical and process engineering | process intensification, electrochemistry, catalysis, industrial chemistry, process safety | – |
| Civil and critical-infrastructure engineering | structures, bridges, dams, utilities, lifelines, resilience engineering | – |
| Water, hydrology, ocean and coastal science | hydrology, hydraulics, groundwater, oceanography, coastal engineering, water treatment | – |
| Agriculture, food and fisheries technologies | precision agriculture, crop science, aquaculture, fisheries, food systems, agri-robotics | – |
| Environmental and biodiversity science | ecology, conservation technology, biodiversity monitoring, ecosystem modelling | – |
| Geoscience, geotechnical systems and critical minerals | geophysics, geotechnics, mining, critical minerals, subsurface systems | – |
| Nuclear and radiological technologies | fission, radiological systems, fuel cycle, waste, radiation sensing | – |
| Photonics, optics and laser systems | photonics, lasers, lidar, optical sensing, integrated photonics | – |
| Frontier physics and plasma science | plasma, high-energy physics, condensed matter, accelerators, precision physics | – |
| Mathematics, statistics, operations research and complex systems | probability, optimisation, network science, dynamical systems, stochastic processes | – |
| Computational science, simulation and uncertainty quantification | numerical methods, multiphysics, digital twins, UQ, scientific computing | – |
| Metrology, sensing and autonomous scientific instrumentation | metrology, sensor networks, autonomous labs, scientific instruments, calibration | – |
| Industrial systems, reliability and process safety | reliability, FMEA, HAZOP, LOPA, SIL, asset integrity, OT | – |
| Financial engineering and computational risk | market risk, credit risk, insurance, actuarial science, systemic finance, quantitative finance | – |
| Supply-chain and industrial ecosystems | trade, logistics, supplier networks, critical dependencies, industrial policy | – |
| Convergent technologies and system-of-systems risk | cross-domain risk, emergent risk, technology convergence, systemic interactions, cascades | – |
Integration profiles
Each profile carries independent truth states: implemented is not tested, tested is not observed in operation, and none of these is a release.
| 概况 | 标准 | Formats and transport | Truth state |
|---|---|---|---|
| unrisk.openapi.v1 | OpenAPI 3.2 | application/json, application/geo+json, HTTP/1.1, HTTP/2, HTTP/3 |
implementation: implemented interoperability: untested operational: unobserved release: hold claim: integrated |
| unrisk.mqtt.v1 | MQTT 5.0 | application/json, application/CBOR, MQTT/TLS |
implementation: registered interoperability: untested operational: unobserved release: hold claim: integrated |
| unrisk.agent.mcp.v1 | MCP 2026-07-28 | application/json, HTTP |
implementation: implemented interoperability: untested operational: unobserved release: hold claim: integrated |
Where it runs
- 渠道
GET /statusGET /frontier-stem/domainsGET /capabilitiesPOST /resolvePOST /discoverPOST /plansPOST /plans/:id/executeGET /products/:id/lineagePOST /products/:id/projectPOST /products/:id/correctGET /integrations- 访问
- Tenant-scoped, inside authenticated NXS-GRX authority. Enterprise and public-sector plans reach it through the enterprise platform.
Compose with the risk engine
Enterprise and public-sector plans reach the kernel through the enterprise API.
状态
The Global Risks Index 的方法、结构和定义为预备性工作草案(2026),供审阅和评论,不供实施。在从受治理的证据截取中发布版本之前,不会出现任何数值;届时数值将附有区间、类别、来源及其更正途径。模拟器以您选择的数字运行已发布的方法,绝不显示 NXS-GRX 数值。
NXS-GRX 不是什么
NXS-GRX 是研究和风险分析信息。它不是信用评级或 ESG 评级,不使用任何评级尺度;它不是金融工具的基准,不是官方统计,不是紧急警报或官方分类,也不是建议。不得用于评估自然人。风险等级是已发布尺度上的区间,绝不是对国家或个人的排名。
机构与来源
The Nexus Consortium is stewarded by three independent not-for-profit institutions: The Global Centre for Risk and Innovation (GCRI), through GCRI US in Washington, DC and GCRI Canada in Ontario, with GCRI Canada as Lead Institution, Consortium Secretariat and lead contracting organisation; The Global Risks Forum (GRF); and The Global Risks Alliance (GRA). Technology, infrastructure and service providers work with the Consortium at arm’s length under written agreements, like every other external party in the public-private-planet model, and hold no role in its stewardship.
每个数值均附有其来源的署名,这些来源保留各自的许可。外部名称仅为互操作性而引用。Nexus 撰写的文本拟在发布时采用 CC BY 4.0。
Avis en français
La méthodologie et les définitions du NXS-GRX sont un projet de travail préparatoire (2026). Le NXS-GRX est une information de recherche et d’analyse des risques : ni notation, ni indice de référence financier, ni statistique officielle, ni alerte, ni conseil. Les classes de risque sont des bandes sur une échelle publiée, non des classements.