UNIFYTrust applies trust framework rules at transaction time
UNIFYTrust evaluates verifiable credentials, authentication outcomes, and trusted system assertions against policy and context. It operates after authentication or credential presentation, producing a trust decision for the relying application or business process.
UNIFYTrust is configured using reusable policy and rule sets that represent trust framework requirements. That allows agencies and enterprises to apply consistent trust decisions without rebuilding verification logic for every service.
UNIFYTrust works with upstream identity providers, credential verification components, and authoritative information services. UNIFY does not position the service as the trust authority, credential issuer, or authoritative data source.
UNIFY provides design, configuration, integration, operation, and support for the life of the service. Delivery is aligned with UNIFYAdvantage and can support government-grade operating models across Australia and New Zealand.
Overview
UNIFYTrust is a service composed of reusable trust components that implement trust framework rules as policy and rule sets. It evaluates verifiable claims against policy and context at transaction time and returns a trust decision to the relying application or business process.
This means UNIFYTrust is defined by the decision it produces, rather than by any single identity platform or product implementation. Where required, the service can incorporate identity orchestration and access management capabilities, but those are implementation components rather than the definition of the service itself.
The service can support customer access, citizen access, and verification support scenarios. Typical use cases include evaluating verifiable credentials during onboarding, applying trust rules to authentication outcomes before granting access, and enforcing eligibility policies across digital channels.
Where UNIFYTrust fits
UNIFYTrust sits between verified evidence and the business decision that depends on it.
Inputs can include Verifiable Credentials and other already-validated digital evidence presented during onboarding, access, or approval processes.
UNIFYTrust can consume assurance signals from upstream identity providers, including authentication strength, method, and session context.
Trusted assertions from HR, compliance, regulatory, or business systems can be evaluated alongside presented identity evidence.
Policy can incorporate context such as channel, risk, jurisdiction, role scope, expiry, or transaction type before a decision is made.
UNIFYTrust does not replace the issuer, wallet, verifier, trust authority, or authoritative data source. It applies the trust framework rules those upstream components depend on, then returns a consistent, auditable decision to the service that needs to act.
Typical trust-framework scenarios
Evaluate identity, role, and eligibility evidence before creating accounts, granting access, or progressing onboarding workflows.
Check presented business-role or delegation claims before approving transactions, submissions, or high-trust actions.
Enforce scope, trust, and expiry for contractors, partners, and temporary workforce access across shared services.
Support AML, KYC, sanctions, anti-terrorism, and related regulatory checks by evaluating identification evidence and policy conditions before an organisation proceeds.
Why this matters
Without a reusable trust-decision layer, organisations often rebuild the same policy logic inside each application, workflow, or channel.
Apply the same trust logic across channels, products, and workflows instead of rebuilding policy inside each application.
Produce clearer decision signals and supporting evidence for governance, compliance, and operational review.
Reuse policy and integration patterns so new services do not need bespoke trust logic from scratch.
Keep decision logic aligned with evolving trust frameworks, assurance models, and regulatory requirements.
UNIFYTrust helps agencies and enterprises apply trust framework rules once, reuse them across services, and keep decision logic aligned with policy as the ecosystem evolves.
Case study
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