Australia’s government AI governance approach requires organizations to translate responsible AI principles into practical governance, technical assurance, risk management, transparency, and operational controls.
UnifAI maps software-addressable requirements across two Australian Government AI frameworks:
(1) National Framework for the Assurance of AI in Government; and
(2) Policy for the Responsible Use of AI in Government
Across both frameworks, UnifAI maps 44 policies to software-addressable requirements.
Australian AI Frameworks Covered
National Framework for the Assurance of AI in Government
23 Policies Mapped to Software-Addressable Requirements
Coverage includes human-centered AI, privacy-preserving principles, governance processes, system development assurance, testing and validation, ongoing monitoring, incident management, lifecycle management, AI risk classification, automated decision-making, and transparency.
Policy for the Responsible Use of AI in Government
21 Policies Mapped to Software-Addressable Requirements
Coverage includes AI transparency statements, responsible AI operating principles, AI technical standards, AI use-case impact assessment, high-risk use cases, and alignment with related AI frameworks.
UnifAI connects Australian AI assurance requirements to operational policies and controls:
Requirement → Policy Mapping → AI Control → Enforcement or Notification → Documented Evidence
This gives organizations visibility not only into which requirements apply, but also into how those requirements are being addressed across operating AI environments.
Privacy-Preserving AI
Privacy is one of the most extensively mapped areas in the National Framework, with 8 policies supporting controls that limit, mask, and govern personal data flowing through AI systems.
Testing & Validation
Technical assurance controls help verify that AI systems behave as specified before reaching production.
Automated Decision-Making
UnifAI maps controls for AI systems that make or materially influence decisions about people, where stronger governance and oversight may be required.
High-Risk AI
Mapped policies help identify higher-risk AI use cases and apply additional assessment and control requirements.
DISCOVER
Establish visibility into AI assets operating across the organization.
DERIVE
Map applicable Australian AI assurance requirements to policies and controls.
DEFEND
Apply operational guardrails and continuously maintain evidence of how those controls are working.
Written AI principles are only the beginning. UnifAI helps organizations connect governance requirements to the AI systems, policies, controls, monitoring, and evidence needed to make responsible AI operational.
See how UnifAI helps you discover the AI you need to govern, map Australian assurance requirements to policies and controls, enforce guardrails, and maintain continuous evidence.
*Coverage shown reflects regulatory requirements mapped to UnifAI’s software-addressable controls. Frameworks may also include organizational, procedural, training data, model training, or other requirements outside this technical scope.
Coverage reflects Lineaje’s internal AI Policy Compliance Coverage assessment and does not constitute a general assertion of regulatory compliance.