Australia National Framework for the Assurance of AI in Government (2024)vsAustralian Government Data Governance Framework (2025)
See exactly how Australia National Framework for the Assurance of AI in Government (2024) controls map to Australian Government Data Governance Framework (2025). Pre-computed mappings, identified gaps, and coverage analysis.
Need this as a report you can hand to an assessor? A coverage crosswalk for this pair can be built to order.
According to the TheArtOfService Compliance Knowledge Graph:
Australia National Framework for the Assurance of AI in Government (2024) maps to Australian Government Data Governance Framework (2025) with 3% coverage across 1 directly mapped controls. Analysis of 32 Australia National Framework for the Assurance of AI in Government (2024) controls identifies 44 compliance gaps, primarily concentrated in Principle 5: Reliability and safety – Australia National Framework for the Assurance of AI in Government (2024).
Source: TheArtOfService Knowledge Graph | 32 controls analysed | 849 frameworks | 314K+ cross-framework mappings
Control Mappings
Showing 1 of 1 mapped controls across 1 domains. Sign up to explore all 314K+ mappings across 849 frameworks.
Cornerstones of assurance – Australia National Framework for the Assurance of AI in Government (2024)(1 mappings)
A Australia National Framework for the Assurance of AI in Government (2024) to Australian Government Data Governance Framework (2025) crosswalk, built to order
The table above lists candidate mappings. A crosswalk answers the narrower question you are probably here for: which Australian Government Data Governance Framework (2025) controls your existing Australia National Framework for the Assurance of AI in Government (2024) work already satisfies, which are real gaps, and the reasoning behind every claim so you can check it. One pair, $299, one time.
This direction has not been through crosswalk review and sign off, so no coverage figure is published for it. Reporting an unreviewed number would be worse than reporting none. It can be built to order at the same price as a pair that is already on the shelf.
If the two frameworks turn out to have too little in common for a crosswalk to help you, we say so and refund it rather than send a number worth nothing.
This direction has not been through crosswalk review and sign off, so no coverage figure is published for it. Reporting an unreviewed number would be worse than reporting none. It can be built to order at the same price as a pair that is already on the shelf.
If the two frameworks turn out to have too little in common for a crosswalk to help you, we say so and refund it rather than send a number worth nothing.
- Every evidenced control, with the reasoning behind it
- Every gap, with what it requires
- Its level of review stated plainly, not a bare number
Why this page shows two different percentages. The 3% in the header counts how many Australia National Framework for the Assurance of AI in Government (2024) controls carry at least one candidate mapping in the graph, before any review. The crosswalk percentage counts something stricter: how many Australian Government Data Governance Framework (2025) controls are actually evidenced, after a pass that argued against each mapping and kept only what survived. They answer different questions and they are not meant to agree.
A crosswalk narrows the work. It does not replace an audit, and your assessor may take a different view on individual controls. Mappings between frameworks are judgements, not text printed in either standard, which is why every claim in the report shows its reasoning. Questions go to support@theartofservice.com.
Related Comparisons
Other Australia National Framework for the Assurance of AI in Government (2024) comparisons
Other Australian Government Data Governance Framework (2025) comparisons
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What are the key differences between Australia National Framework for the Assurance of AI in Government (2024) and Australian Government Data Governance Framework (2025)?
Australia National Framework for the Assurance of AI in Government (2024) has 32 controls across its framework, while Australian Government Data Governance Framework (2025) covers 30 controls. Direct mapping analysis identifies 1 overlapping controls (3% coverage). The frameworks diverge most significantly in Principle 5: Reliability and safety – Australia National Framework for the Assurance of AI in Government (2024), where 6 Australia National Framework for the Assurance of AI in Government (2024) controls have no direct Australian Government Data Governance Framework (2025) equivalent.
How many controls map between Australia National Framework for the Assurance of AI in Government (2024) and Australian Government Data Governance Framework (2025)?
Of 32 total Australia National Framework for the Assurance of AI in Government (2024) controls, 1 map directly to Australian Government Data Governance Framework (2025) controls, representing 3% coverage. The remaining 44 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.
What are the compliance gaps when mapping Australia National Framework for the Assurance of AI in Government (2024) to Australian Government Data Governance Framework (2025)?
44 Australia National Framework for the Assurance of AI in Government (2024) controls have no direct equivalent in Australian Government Data Governance Framework (2025). The highest concentration of gaps is in Principle 5: Reliability and safety – Australia National Framework for the Assurance of AI in Government (2024) with 6 unmapped controls. These gaps represent areas where additional controls, policies, or documentation must be created to achieve compliance with both frameworks.
Which control domains have the most gaps between Australia National Framework for the Assurance of AI in Government (2024) and Australian Government Data Governance Framework (2025)?
The domain with the highest gap count is Principle 5: Reliability and safety – Australia National Framework for the Assurance of AI in Government (2024) (6 gaps). Export the full domain-by-domain gap breakdown via the Professional tier to generate a prioritised remediation roadmap.
Related Resources
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