Audit Objective
In this audit we assessed if agencies appropriately identify and assess fraud risks, and apply appropriate risk treatments and control activities to adequately manage their exposure to fraud risks.
We assessed if the agencies' risk management plans effectively targeted and addressed fraud risks and if there were any obvious omissions from risk registers.
Overview
Recent fraud attempts in the Queensland public sector highlight the need for agencies to implement effective fraud control measures.
To effectively manage and identify fraud risks, agencies need to examine their business environments to understand its potential exposure to fraud. Agencies that do not dedicate sufficient time and resources to understanding their fraud risks, can be exposed without realising it.
This audit assessed if agencies appropriately identify and assess fraud risks, and apply appropriate risk treatments and control activities to adequately manage their exposure to fraud risks.
The report also includes better practice statements for fraud risk management, common fraud risks, and guidance for conducting a fraud risk susceptibility analysis. We have also published a fraud risk assessment and planning tool to help agencies idenitfy, record and monitor fraud risks. You can download the tool by clicking 'Download better practice guide' on the left-hand menu.
Recommendations
We recommend that all public sector agencies:
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self-assess against the better practices listed in this report to improve fraud control policies and plans where required, and make sure accountabilities and responsibilities for fraud control are clear. |
2. |
integrate fraud risk management systems and procedures within existing enterprise risk management frameworks. The integrated framework should include the requirement to:
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3. |
monitor through their governance forums, their agencies' exposure to fraud risk and the effectiveness of their internal controls to mitigate any risks. Key governance committees, including boards and audit and risk committees should:
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