Match data with the authoritative source and verify relevant details or supporting evidence.
Services such as the Identity Matching Service can be used to verify identity credentials back to the authoritative source when the information is an Australian or state and territory government issued identity credential.
This countermeasure is supported by the Office of the Australian Information Commissioner's Guidelines on data matching in Australian government administration.
Why this countermeasure matters
Not matching data with similar data points may lead to:
- an inability to obtain or verify information
- false information being used to support a request or claim
- changes or information not being disclosed that would affect entitlements
- changes in circumstances being missed.
Data matching can also help identify trend and patterns, which can help improve intelligence and targeting capabilities as well case claims processing.
How you might apply this countermeasure
Some ways to implement this countermeasure include:
- automatically comparing claim or recipient data by comparing new data with a corresponding data file
- automatically populating claim data by using a data link
- matching program participants by sharing data files between entities
- automatically matching employment details with Tax File Number declarations held by the Australian Taxation Office
- automatically verifying recipient income through Single Touch Payroll
- a plagiarism check using a specified process and/or tool.
How to check if your countermeasures are effective
Here are some ways to measure the effectiveness of this type of countermeasure:
- consult subject matter experts about the data matching process
- review controls and policies to see if they conform to national guidelines and frameworks
- review reports to determine the accuracy of the data match, such as the percentage of successful matches
- evaluate the reliability of the data match, such as checking whether the data is consistent and trustworthy
- evaluate the usefulness of the data match for preventing fraud
- review relevancy of data categories being matched
- review any data quality issues and find out if these affect the usefulness of the data match for preventing fraud
- review a sample of completed requests/claims to confirm the data matching is working correctly
- review the original source of the data and see if it’s an impartial, reliable or trustworthy source
- review system specifications to confirm the data match is working as designed
- undertake testing or a process walk-through to confirm that data matching occurs and is used to support decision-making
- confirm data matching is always on/available
- confirm that someone cannot bypass data matching even when subject to pressure or coercion.
This type of countermeasure is supported by: