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TIAPS Module 1 Audit and Assurance workbook

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IT controls may be manual, automated, or semi-automated. A useful article by <strong>Audit</strong>Board<br />

makes the distinction clear:<br />

Automated controls are ideal in situations with high volume, uniform transactions. In<br />

this case, there is little need for manual intervention or judgment. Automated controls<br />

include the risk of relying on inaccurate systems <strong>and</strong> data or putting trust in an<br />

inappropriate automation algorithm.<br />

Manual controls are preferred when there is a need for human judgment. The need<br />

for manual controls often arises when there is a low volume of transactions that<br />

require discretion in deciding the outcome of the internal control process. Manual<br />

controls run the risk of human error <strong>and</strong> intentional override.<br />

A third control category also exists called semi-automated controls, sometimes<br />

referred to as IT-dependent controls. With this type of automated control, human<br />

intervention is still required, but the person’s action is dependent on the output for a<br />

system. 66<br />

In addition, the process of testing controls can be automated with significant benefits, as<br />

described by EY:<br />

• Increased operational efficiency (compared with manual controls <strong>and</strong> risk compliance<br />

processes that may be “fragmented, siloed, <strong>and</strong> unsustainable.”)<br />

• Reduced compliance costs associated with the manual effort, time, <strong>and</strong> errors.<br />

• Improved controls assurance, allowing for high volume, high accuracy, <strong>and</strong> live<br />

insights.<br />

• Continuous controls improvement, making the shift “from controls testing as a<br />

compliance exercise to a value-added program.” 67<br />

The advanced tools described in <strong>Module</strong> 2 Good Governance, Managerial Accountability,<br />

Developing Strategy, <strong>and</strong> Data Analysis section B.3.1, including data analytics, robotic<br />

process automation, artificial intelligence, machine learning, deep learning networks, <strong>and</strong><br />

exploratory data analysis, can be used to enable automated controls testing.<br />

C.3.3 Cybersecurity<br />

IT is not just something that might fail through error, poor practice, <strong>and</strong> bad luck; it provides<br />

a target for deliberate <strong>and</strong> often malicious attacks. The IIA Cybersecurity Toolkit provides a<br />

checklist for undertaking cybersecurity audits of key areas to consider as part of the planning<br />

<strong>and</strong> testing stages.<br />

• Cybersecurity governance. (This is discussed in more detail in section A.4.)<br />

• Inventory of information assets (hardware, software, <strong>and</strong> data).<br />

66<br />

Automated Controls Testing <strong>and</strong> SOX Testing, <strong>Audit</strong>Board, 2016.<br />

67<br />

Automated Controls Testing: a stepping-stone to the future of internal audit, EY, 2021.<br />

https://www.linkedin.com/pulse/automated-controls-testing-stepping-stone-future-internal-roffey/<br />

67

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