AI & trust

Proof Infrastructure vs AI Governance Platforms

AI governance platforms help organizations manage policies, monitor models, and assess risk. Proof Infrastructure produces independently verifiable records of what AI systems actually did. One governs and observes; the other proves.

Proof Infrastructure

Emit independently verifiable proof of AI actions — model, decision, timing, and oversight.

AI governance platforms

Manage AI policies, inventory, monitoring, risk scoring, and governance workflows.

Side by side

AI governance platforms
Proof Infrastructure
Focus
Policies, monitoring, and risk scoring
Verifiable record of what AI did
Accountability
Reports and observability
Proof of decisions and oversight
Evidence
Internal dashboards and logs
Independently verifiable artifacts
Disputes
Hard to prove externally
Provable to third parties

AI governance platforms

Strengths

  • Model inventories, policy management, and risk workflows.
  • Monitoring, drift detection, and observability.
  • Program-level oversight for AI portfolios.

Limitations

  • Evidence lives in dashboards you must trust.
  • Difficult to prove specific AI actions to outsiders.
  • Observability is not the same as verifiable proof.

Proof Infrastructure

Strengths

  • Proves which model decided what, when, and under whose oversight.
  • Independently verifiable by regulators and affected parties.
  • Supports accountability at the level of individual decisions.

Limitations

  • Not a monitoring or policy-management platform.
  • Requires emitting proofs at AI decision points.

When each approach fits

Choose ai governance platforms

Use an AI governance platform to manage policies, monitor models, and run governance programs.

Choose Proof Infrastructure

Use Proof Infrastructure to produce verifiable, defensible proof of individual AI actions and oversight.

How they complement each other

AI governance platforms define and monitor policy; Proof Infrastructure provides the verifiable evidence that policies were followed on specific decisions — turning governance claims into provable facts.

Related concepts

AI AccountabilityAI accountability is the ability to prove what an AI system did, when, on what basis, and under whose authority — so that AI actions can be verified and answered for.Verifiable AIVerifiable AI is the practice of making AI actions and outputs independently provable — so their occurrence, authorship, and oversight can be confirmed by anyone.AI ProvenanceAI provenance is the verifiable lineage of an AI output — the record of which model, inputs, and steps produced a given decision or artifact.Decision TraceabilityDecision traceability is the ability to follow a decision back through the events, inputs, approvals, and authorities that produced it — verifiably.

Related questions

How do I prove an AI decision occurred?How do I establish accountability across multiple parties?

See it in action

Inspect a proof artifact and run independent verification in the live demo.

Launch Live Demo What is Proof Infrastructure?