AML/CFT and Data Protection often sit in separate boxes. In practice, they work best when they support each other. When you align the two, you get clearer risk decisions, stronger controls, and cleaner data.

The questions they ask

AML/CFT focuses on financial crime risk

AML/CFT asks questions like:

• Do we know who we’re dealing with?
• Do we understand the risks in the client information?
• Do we have enough information to understand the client’s purpose and activities?
• Would the information we hold help us spot unusual or suspicious activity?

Data Protection focuses on privacy and control

Data Protection asks questions like:

• Why are we collecting this data?
• Do we actually need it to deliver the service?
• Are we keeping it secure, accurate, and only for the required period?
• Who has access, and is it appropriately restricted?

Stronger assessments, clearer mitigation

When you run these side by side, for example an AML/CFT Code-prescribed Risk Assessment alongside a Data Protection Assessment (including a DPIA where required), you often get a more complete view of risk and you can set the right mitigation.

A strong AML/CFT assessment helps you collect the right information to understand ownership and control, and it records the rationale behind decisions.

A strong Data Protection assessment ensures you collect and use that same information on a lawful basis, keep it secure, share it only when needed, and avoid the “collect everything just in case” trap.

The outcomes and the bigger point

Bringing AML/CFT and Data Protection together supports:

• Better quality data
• Clearer risk mitigation decisions
• Reduced or eliminated unnecessary data collection
• Better record keeping, with appropriate steps in place
• Clearer oversight for internal or external audits and reviews

AML/CFT Risk Assessments and DPIAs complement each other. One focuses on financial crime risk. The other focuses on privacy risks and the rights and freedoms of individuals. Both depend on purpose, accuracy, controls, activity, and necessity.

Good compliance isn’t about collecting everything “just in case”. It’s about collecting the right information, for the right reasons, and using it correctly.

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