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Evidence, Provenance & Authenticity
Can the organisation establish whether claims, data and evidence are authentic, current and sufficiently supported?
Building the Trust Infrastructure for AI
Helping organisations independently verify the AI systems, infrastructure and ecosystems they rely on.
Just Verify helps organisations better understand, verify and responsibly rely on the AI systems, models, agents, vendors, workflows, infrastructure and environments they depend on.
We bring together the evidence, oversight and independent verification capabilities organisations need to decide what to trust, under what conditions and when trust should be re-evaluated.
VerifiableEvidence-backedTraceableIndependentSovereignAccountableDefensibleIn control
Select a domain to inspect its relationship to the trust infrastructure.
Why independent verification is becoming essential
AI capability is advancing faster than the evidence organisations possess.
AI systems are becoming more capable, autonomous and interconnected, but the evidence organisations receive is often fragmented, provider-controlled and disconnected from real operating conditions. That creates six essential verification questions:
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Models, Systems & Performance
Can the organisation establish how models and connected systems perform, behave and interact under real operating conditions?
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Agents, Authority & Control
Can the organisation verify identities, permissions, tool access and delegated authority, and can it intervene when boundaries are exceeded?
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Workflows, Decisions & Outcomes
Can the organisation trace how AI actions move through workflows and assess whether resulting decisions and outcomes remain acceptable?
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Providers, Infrastructure & Dependencies
Can the organisation verify the providers, compute, infrastructure, jurisdictions and critical dependencies on which its AI relies?
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Accountability, Lifecycle & Continued Reliance
Can the organisation establish what happened, what changed, who remains accountable and whether continued reliance is justified?
- Claims
- Evidence
- Verification
- Trust Decision
- Continuous Assurance
A trust decision is not the end of the process. Evidence must remain valid as systems, providers, permissions, infrastructure and operating conditions change.
What organisations need to verify
Independent verification must extend across the whole AI environment.
The relevant unit of trust is no longer only the model. Organisations increasingly rely on connected environments combining information, data, models, agents, workflows, providers, infrastructure and wider ecosystems. Independent verification must connect evidence across every relevant area while preserving organisational judgement, accountability and control.
These six areas provide a core organisational starting point, not a fixed or exhaustive boundary. Those questions must be addressed across six connected verification areas. Verification requirements may extend further according to the sector, jurisdiction, system, infrastructure, lifecycle stage and trust decision involved.
OrganisationalTrust decisionIndependent judgement & control
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Information, Data & Evidence
Verify whether information, data, claims and evidence are authentic, traceable, current and sufficiently supported.
Includes Content · Sources · Data · Provenance
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Models & Systems
Verify how models and connected systems perform, behave and interact under real operating conditions.
Includes Models · Applications · Integrations · Reliability
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Agents & Authority
Verify who or what is acting, what authority exists and where approval or intervention is required.
Includes Identity · Permissions · Tool Access · Approval
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Workflows & Outcomes
Verify how AI actions move through workflows and whether resulting decisions and outcomes remain acceptable.
Includes Actions · Decisions · Outputs · Outcomes
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Providers & Infrastructure
Verify the providers, infrastructure, dependencies and operating environments on which organisational reliance depends.
Includes Vendors · Cloud · Compute · Jurisdiction
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Ecosystems & Markets
Verify claims, relationships and dependencies across the wider ecosystems in which AI systems operate.
Includes Partners · Standards · Supply Chains · Market Claims
- Design
- Evaluate
- Deploy
- Operate
- Change
- Re-verify
Verification must continue as systems, permissions, providers and operating conditions change.
Independent organisational capability
An independent trust infrastructure across the AI ecosystem.
Organisations need an independent capability between their governance responsibilities and the AI systems, providers, infrastructure and dependencies they rely on. It connects evidence, verification, oversight, monitoring and decision control so they can retain their own judgement, accountability and control.
This is how an organisation maintains its own judgement and control as technologies, providers and operating conditions change.
Learn More About the Trust InfrastructureOrganisational Trust Infrastructure model
- Organisational Governance and Oversight
- Policy, accountability, risk appetite and approval.
- Organisation
- People, processes and objectives.
- Independent Trust Infrastructure
- Independent verification at the centre of the organisational relationship with AI.
- AI Ecosystem
- Models, agents, providers, infrastructure and dependencies.
- Operating capabilities
- Evidence, independent verification, oversight, monitoring and decision control.
- Trust Data and Evidence Foundations
- The records and signals needed for scrutiny.
- Organisational outcomes
- Organisational sovereignty, operational autonomy, business continuity and accountable reliance.
Beyond software
AI trust is no longer only a software question.
AI systems depend on a wider physical and digital environment.
Reliability, sovereignty, continuity, performance, and organisational control may depend on where systems operate, who owns the infrastructure, which hardware is available, how data moves, and whether critical dependencies can be replaced.
Verify compute capacity, resilience, physical security, utilisation, energy, cooling and material infrastructure claims.
Emerging verification environments
Beyond today's infrastructure, future trust will also extend across physical, spatial, decentralised and machine-to-machine environments.
Physical & Embodied AI
Spatial & Immersive Systems
Blockchain & Decentralised Systems
Machine-to-Machine Ecosystems
Start with the trust question
What does your organisation need to verify before it can trust AI?
Whether you are evaluating a model, deploying agents, assessing a provider, developing infrastructure, or preparing for the next generation of intelligent systems, the first step is to define the evidence required to support a responsible trust decision.