The Global Risks Index
NXS-GRX · Kernel · 15 products · 35 domains

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, claim ceiling and correction path.

Page GRX-KRNEdition Baseline Edition 2026Evidence close 2026-09-30Values not yet publishedSnapshot 31a753f76
15
kernel products
35
frontier domains
3
integration profiles
50
product kinds
01Kernel

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.

Context

Resolve

Places, times, assets and portfolios resolve to UNIs, with every source assertion kept.

Plan

Discover and route

Capabilities are found by stable ID and version, never by title, and routed by latency and scientific assurance.

Run

Run and compose

A dependency plan runs on governed NXS-GRX kernels; products compose across domains on the risk product graph.

Deliver

Project and correct

Products project to the form each client needs, and a correction upstream supersedes every dependent product.

02A composition

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.

on: product requested
Compose a risk intelligence product with the risk engine
In progressTriggered by You or your system10 jobs1 approval gate1 matrix job5 checks1 deployment
Graph
01Context
02Context
03Plan
04Plan
05Plan
06Run
07Run
08Check
09Deliver
10Deliver
100%
Timeline
Job0 h1 hTarget
Resolve contextRisk engineinstant
Purpose and rights checkIdentity and policy authorityinstant
Discover capabilitiesRisk engineinstant
Route by quality of intelligenceRisk engineinstant
Compile the DAG planRisk engineinstant
Run governed scienceNXS-GRX run serviceoperational
Compose across domainsRisk engineinstant
Evidence and assurance gateRisk engineinstant
Project the productRisk engineinstant
Lineage and correctionRisk enginecontinuous

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.

Steps
  1. Resolve context
    Context · Risk engine · instant
    Place, time, asset or portfolio resolved to UNIs · Purpose and tenant scope bound to the request · Source assertions kept, never merged silently
    Risk engineNS-1 UNI catalogue
  2. Purpose and rights check approval
    Context · Identity and policy authority · automatic
    Identity and purpose verified · Rights, sovereignty and disclosure policy applied · Refusal is typed, never silent
    FoundryLicence register
  3. Discover capabilities
    Plan · Risk engine · instant
    Capabilities found by stable ID and version, never by title · Implementation and release state read per capability · Held capabilities excluded
    Risk engineTested model kernels
  4. Route by quality of intelligence
    Plan · Risk engine · instant
    Paths scored on latency class and scientific assurance · Fastest path that meets the assurance asked for · Trade-off recorded
    Risk engine
  5. Compile the DAG plan
    Plan · Risk engine · instant
    Dependencies ordered topologically · Cycles refused · Plan versioned and hashed
    Risk engineNXS-GRX run service
  6. Run governed science matrix ·
    Run · NXS-GRX run service · operational
    Each node runs on its bound kernel · Seeds, inputs and versions recorded · Failures stay failures
    NXS-GRX run serviceTested model kernelsMonte Carlo engine
  7. Compose across domains
    Run · Risk engine · instant
    Products joined on the risk product graph · Weakest assurance carried forward · Every upstream evidence reference kept
    Risk engineProvenance (W3C PROV)
  8. Evidence and assurance gate
    Check · Risk engine · automatic
    Claim ceiling never raised above its inputs · Missing evidence fails closed as INSUFFICIENT_EVIDENCE · High-reliance projections need complete evidence
    Verification engineProvenance (W3C PROV)
  9. Project the product
    Deliver · Risk engine · instant
    Scalar, table, series, distribution, features, network or evidence pack · Agent-context, feature-vector and compact forms · Each projection carries its UNI and lineage
    Risk enginePublic cut APIVector tiles
  10. Lineage and correction
    Deliver · Risk engine · continuous
    Derivation and composition edges recorded · A superseded input marks every dependent product SUPERSEDED · Stale intelligence never stays current
    Correction logPostgreSQL ledger (row-level security)
Artifacts
ArtifactJobWhoStage
Resolved contextResolve contextRisk engineContext
Policy decisionPurpose and rights checkIdentity and policy authorityContext
Capability setDiscover capabilitiesRisk enginePlan
Route decisionRoute by quality of intelligenceRisk enginePlan
Execution planCompile the DAG planRisk enginePlan
Upstream productsRun governed scienceNXS-GRX run serviceRun
Composite productCompose across domainsRisk engineRun
Assurance recordEvidence and assurance gateRisk engineCheck
ProjectionProject the productRisk engineDeliver
Lineage graphLineage and correctionRisk engineDeliver
Correction noticesLineage and correctionRisk engineDeliver
DoneIn progressWaiting for approvalQueuedApproval gateMatrix jobTest jobDeploymentYou are here
The risk engine resolves context, discovers capabilities by stable ID, routes by quality of intelligence, runs governed science and composes a product that keeps every input’s evidence and claim ceiling. The canvas shows where a request stands at the marked job; it is an illustration, not the status of a real request. Durations are proposed target service levels. Select a job for its steps, the people who act, the technology it runs on and what it produces.
03Product truth

The kernel never upgrades science

Claim ceiling
A composite is bounded by the claim ceiling of its inputs. An integrated engine output stays integrated; it never becomes institutional acceptance.
Assurance
Composition carries the weakest scientific assurance of its inputs and every upstream evidence reference.
Missing evidence
High-reliance projections fail closed as INSUFFICIENT_EVIDENCE instead of inventing a value.
Correction
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.
04Authority

Who decides what

AuthorityOwns
NXS-GRXCanonical governed risk data, scientific products and evidence.
Identity and policy authorityIdentity, purpose, rights, sovereignty, disclosure and claim boundaries.
Compute authority (NXS-COR)Execution placement, runtime and infrastructure lifecycle.
Capability lifecycle authoritySoftware, model and agent capability lifecycle.
Operational map authorityOperational map and common operating picture composition.
Risk engineComposes, routes and projects governed risk intelligence. It does not manufacture scientific truth.
External institutionsKeep legal, regulatory, emergency, warning, medical, financial and other consequential authority.
05Products

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.

ProductWhat it doesProduct kindsState
the risk engineunrisk.commandOperational entry surface for kernel status, model registry coverage, active compositions, products, corrections and integration posture.status, capability graph, risk product graphIntegrated
NXS-STU Composerunrisk.nexus-composerBuild arbitrary domain × lens × scenario × Chronotope compositions and compile them into evidence-bound scientific execution graphs.time series, data cube, dependency graph, scenario tree, ensembleIntegrated
Chronotope Studiounrisk.chronotope-studioConstruct and inspect ordered observation, valid, forecast, scenario and transaction-time frames for cross-engine Nexus computation.time series, trajectory, scenario treeIntegrated
model registryunrisk.risk-masterSearch the complete NXS-GRX model registry, inspect stable capability IDs, methods, evidence, VVUQ obligations, implementation state and execution availability.capability graph, model diagnostic, evidence packRelease held
Scientific Runsunrisk.scientific-runsProvider-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 packRelease held
Risk Product Graphunrisk.product-graphInspect 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 packIntegrated
Assuranceunrisk.assuranceInspect numerical verification, calibration, validation, applicability, uncertainty decomposition, benchmarks and claim ceilings without promoting software state into scientific truth.model diagnostic, benchmark result, evidence packRelease held
Builder APIunrisk.developerDiscovery, API contracts, typed SDK metadata, templates, protocol profiles and semantic-conformance tooling for building any risk-aware application.sdk manifest, api manifest, protocol profile, templateIntegrated
Integration Studiounrisk.integration-studioDiscover and validate risk-intelligence projections for web, mobile, cloud, GIS, OT, IoT, XR, robotics, vehicles, digital twins, analytics and future platforms.integration profile, conformance reportIntegrated
Agentic Riskunrisk.agenticChronotope 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 seriesIntegrated
Spatial Riskunrisk.spatialRisk 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 deltaIntegrated
Industrial Riskunrisk.industrialRead-only risk-intelligence projection for critical infrastructure, industrial control, asset management and operational technology environments.risk object, time series, dependency graph, state transitionIntegrated
Edge Runtimeunrisk.edgeSystem-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 feedIntegrated
Risk Packsunrisk.packsVersioned semantic, science, integration, policy and assurance compositions for technologies, disciplines, industries and deployment profiles.domain pack, science pack, integration pack, policy pack, assurance packIntegrated
Operationsunrisk.operationsOperational truth for plans, scientific runs, composition coverage, event subscriptions, corrections, materiality and safe scientific observability.execution record, correction record, observability summary, subscriptionIntegrated
06Frontier domains

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.

DomainSubdomainsConverges with
Artificial intelligence, machine learning and agentic systemsfoundation models, multimodal AI, scientific ML, agentic AI, reinforcement learning, AI safety, AI assurance—
Advanced computing and computational infrastructureHPC, GPU accelerators, edge computing, cloud, neuromorphic, photonic computing, confidential computing—
Semiconductors, microelectronics and chip systemsadvanced nodes, chiplets, 3D integration, power electronics, RF, MEMS, advanced packaging, EDA—
Quantum technologiesquantum computing, sensing, networking, communications, metrology, materials—
Advanced communications and networked systems5G-Advanced, 6G, NTN, AI-RAN, O-RAN, MEC, optical networks, PNT—
Cybersecurity, cryptography and privacy engineeringzero trust, post-quantum cryptography, confidential computing, OT security, identity, privacy engineering—
Data and distributed digital infrastructuredata fabrics, knowledge graphs, distributed ledgers, DePIN, streaming, federated data—
Robotics, autonomy and physical AIindustrial robotics, humanoids, UAS, autonomous systems, swarm robotics, field robotics—
XR, spatial computing, human-machine interfaces and neurotechnologyAR, VR, XR, smart glasses, BCI, haptics, spatial interfaces—
Biotechnology, genomics and synthetic biologygenomics, gene editing, synthetic biology, cell engineering, biofoundries, computational biology—
Medical technology and computational healthdigital health, medical devices, computational medicine, diagnostics, public health intelligence—
Advanced materials and nanotechnologynanomaterials, metamaterials, composites, 2D materials, smart materials—
Advanced manufacturingadditive manufacturing, digital manufacturing, industrial automation, precision manufacturing, bio-manufacturing—
Advanced energy systemsfusion, fission, renewables, storage, hydrogen, grid technologies, carbon management—
Climate and carbon technologiesclimate intervention, carbon removal, MRV, adaptation technology, climate modelling—
Earth observation and geospatial intelligenceremote sensing, SAR, hyperspectral, geodesy, GIS, digital Earth—
Space systemssatellites, constellations, launch, in-space servicing, space situational awareness, space communications—
Aerospace and propulsionadvanced air mobility, hypersonics, electric propulsion, rocket propulsion, uncrewed aviation—
Future mobilityconnected vehicles, autonomous vehicles, rail automation, maritime autonomy, micromobility—
Chemical and process engineeringprocess intensification, electrochemistry, catalysis, industrial chemistry, process safety—
Civil and critical-infrastructure engineeringstructures, bridges, dams, utilities, lifelines, resilience engineering—
Water, hydrology, ocean and coastal sciencehydrology, hydraulics, groundwater, oceanography, coastal engineering, water treatment—
Agriculture, food and fisheries technologiesprecision agriculture, crop science, aquaculture, fisheries, food systems, agri-robotics—
Environmental and biodiversity scienceecology, conservation technology, biodiversity monitoring, ecosystem modelling—
Geoscience, geotechnical systems and critical mineralsgeophysics, geotechnics, mining, critical minerals, subsurface systems—
Nuclear and radiological technologiesfission, radiological systems, fuel cycle, waste, radiation sensing—
Photonics, optics and laser systemsphotonics, lasers, lidar, optical sensing, integrated photonics—
Frontier physics and plasma scienceplasma, high-energy physics, condensed matter, accelerators, precision physics—
Mathematics, statistics, operations research and complex systemsprobability, optimization, network science, dynamical systems, stochastic processes—
Computational science, simulation and uncertainty quantificationnumerical methods, multiphysics, digital twins, UQ, scientific computing—
Metrology, sensing and autonomous scientific instrumentationmetrology, sensor networks, autonomous labs, scientific instruments, calibration—
Industrial systems, reliability and process safetyreliability, FMEA, HAZOP, LOPA, SIL, asset integrity, OT—
Financial engineering and computational riskmarket risk, credit risk, insurance, actuarial science, systemic finance, quantitative finance—
Supply-chain and industrial ecosystemstrade, logistics, supplier networks, critical dependencies, industrial policy—
Convergent technologies and system-of-systems riskcross-domain risk, emergent risk, technology convergence, systemic interactions, cascades—
07Integrations

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.

ProfileStandardFormats and transportTruth state
unrisk.openapi.v1OpenAPI 3.2application/json, application/geo+json, HTTP/1.1, HTTP/2, HTTP/3implementation: implemented
interoperability: untested
operational: unobserved
release: hold
claim: integrated
unrisk.mqtt.v1MQTT 5.0application/json, application/cbor, MQTT/TLSimplementation: registered
interoperability: untested
operational: unobserved
release: hold
claim: integrated
unrisk.agent.mcp.v1MCP 2026-07-28application/json, HTTPimplementation: implemented
interoperability: untested
operational: unobserved
release: hold
claim: integrated
08API

Where it runs

Mount
/api/grix/v2/unrisk
Routes
GET /status GET /frontier-stem/domains GET /capabilities POST /resolve POST /discover POST /plans POST /plans/:id/execute GET /products/:id/lineage POST /products/:id/project POST /products/:id/correct GET /integrations
Access
Tenant-scoped, inside authenticated NXS-GRX authority. Enterprise and public-sector plans reach it through the enterprise platform.
Snapshot
nexus-foundry@31a753f76

Compose with the risk engine

Enterprise and public-sector plans reach the kernel through the enterprise API.