🎓 Mini-Tutorial: Using AI for SOX Controls (Without Leaking Data)

We often talk about AI writing controls for us. But there is a right way and a very wrong (and dangerous) way to do this

If you feed AI generic inputs, you get generic outputs

But if you feed public AI your actual data, you might be creating a data breach 🙈

🛑 Sanitize Before You Prompt Unless you are using an Enterprise instance (AI within your company's secure perimeter), assume the AI is public

🚫 DO NOT paste personal names, employee IDs, or customer PII

🚫 DO NOT paste unreleased financial figures or trade secrets

🚫 AND PLEASE do not upload your actual full company policies or procedure documents

Instead, use placeholders, fx, "[ERP System]", "[Director Role]", "[Step A]"). Teach the AI the logic, not feed with the secrets

To create the controls that matters, you should understnad the processes. Map it first, using the walkthrough and/or interview. If you skip this, AI will suggest "standard" controls that are impossible to perform in your specific IT environment

Once you have your map (and you've sanitized it), use these 3 Generic Templates to build your control documentation👇

📝 𝗣𝗿𝗼𝗺𝗽𝘁 𝟭: 𝗧𝗵𝗲 "𝗣𝗿𝗼𝗰𝗲𝘀𝘀-𝘁𝗼-𝗖𝗼𝗻𝘁𝗿𝗼𝗹" 𝗕𝘂𝗶𝗹𝗱𝗲𝗿

𝗨𝘀𝗲 𝘁𝗵𝗶𝘀 𝘄𝗵𝗲𝗻 𝘆𝗼𝘂 𝗵𝗮𝘃𝗲 𝘁𝗵𝗲 𝗽𝗿𝗼𝗰𝗲𝘀𝘀 𝘀𝘁𝗲𝗽𝘀 𝗯𝘂𝘁 𝗻𝗲𝗲𝗱 𝘁𝗼 𝗱𝗲𝗳𝗶𝗻𝗲 𝘁𝗵𝗲 𝗰𝗼𝗻𝘁𝗿𝗼𝗹 𝗮𝘁𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝘀

"I need to design a SOX control for [INSERT PROCESS NAME]. Here is the logic of the process steps (I have anonymized specific data): [Step 1] --> [Step 2]--> [Step 3]

The primary risk we need to mitigate is: [INSERT GENERIC RISK DESCRIPTION]

Based ONLY on these process steps, draft a control description that specifies:

• The Action: What exactly is being checked?
• The Owner: Which role (not name) performs it?
• The Frequency: How often (event-driven vs. periodic)?
• The Evidence: What specific report, log, or screenshot proves it?
• The Test: Suggested sample size and pass/fail criteria"

🔍 𝗣𝗿𝗼𝗺𝗽𝘁 𝟮: 𝗧𝗵𝗲 "𝗣𝗿𝗲𝗰𝗶𝘀𝗶𝗼𝗻" 𝗥𝗲𝗳𝗶𝗻𝗲𝗿

𝗨𝘀𝗲 𝘁𝗵𝗶𝘀 𝘄𝗵𝗲𝗻 𝘆𝗼𝘂𝗿 𝗱𝗿𝗮𝗳𝘁 𝗰𝗼𝗻𝘁𝗿𝗼𝗹 𝗳𝗲𝗲𝗹𝘀 𝘁𝗼𝗼 "𝗳𝗹𝘂𝗳𝗳𝘆" 𝗼𝗿 𝗶𝗺𝗽𝗼𝘀𝘀𝗶𝗯𝗹𝗲 𝘁𝗼 𝘁𝗲𝘀𝘁

"I have a draft control that is too vague. It is currently written as: '[INSERT VAGUE CONTROL DESCRIPTION]'

Rewrite this control to be audit-ready by defining:

• Source Data: What specific system report type is used?
• Action: What is the reviewer comparing (e.g., 'Compare Input A to Output B')?
• Threshold: What is the tolerance for error (e.g., 'All variances >[Amount]')?
• Proof: What creates the audit trail?"

⚠️ Prompt 3: The Risk & Gap Analyzer

Use this to ensure you haven't missed a failure point in the workflow

 "Review the following process workflow for [INSERT PROCESS NAME]: [PASTE ANONYMIZED PROCESS STEPS HERE]

Act as an External Auditor. Identify where this process is most likely to break. Do not give me generic risks

Focus on:

• Handoff points between teams/systems.
• Manual intervention points where data could be altered.
• Segregation of Duties conflicts.
• List the top 3 specific failure points"

💡 The "Human in the Loop" Rule

AI gives you the Structure, but you provide the Context

To make these controls work, YOU must manually fill in the specific system names and exact job titles after the AI gives you the draft

#InternalAudit #SOX #RiskManagement #AITutorial #AuditTech #GRC