By business type

Acceptable Use Policy Generator for fintech

Written for KYC, open banking, automated decisions and the regulator that reads your terms.

Generate your acceptable use policy Read the acceptable use policy guide

In a regulated financial product the acceptable use policy is partly a financial-crime control. It has to be enforceable at speed and consistent with what disclosure rules allow you to tell the customer when you act.

Fintech privacy documentation sits under two regimes at once: data protection, and financial services regulation that imposes its own record-keeping, disclosure and fair-treatment duties. The two pull in opposite directions - anti-money-laundering law requires retention that data minimisation would otherwise forbid - and the policy has to explain both without appearing to contradict itself.

Automated decision-making is the clause that matters most. Credit decisions, fraud scoring, risk-based pricing and account restrictions frequently meet the Article 22 threshold, which entitles the individual to information about the logic, human intervention and a route to challenge.

Open banking adds a third layer. Where you access account data through an aggregator, the consent architecture is regulated separately, consent expires on a defined cycle, and the customer’s relationship with the aggregator has to be explained rather than hidden behind your own brand.

What a acceptable use policy for a fintech or financial services business has to cover

Prohibited activity: fraud, money laundering, sanctions evasion and prohibited jurisdictions
Account sharing, synthetic identities and misuse of another person’s details
Automated enforcement, and what a customer is told when an action is taken
The constraints tipping-off rules place on what you may explain
The appeals route and the external complaints escalation

How a fintech or financial services business actually moves personal data

KYC and identity verification

Identity documents, selfies, liveness checks and sanctions screening, usually through a specialist vendor that becomes a significant sub-processor.

Credit and affordability data

Bureau searches, which leave a footprint on the individual’s file, and affordability models that constitute automated decisions.

Transaction monitoring

Continuous screening for fraud and money laundering, generating alerts and suspicious activity reports with their own confidentiality rules.

Open banking account access

Aggregated account and transaction data accessed with time-limited regulated consent.

Biometric authentication

Face or fingerprint matching for onboarding or login, which is special category data under GDPR when used to identify a person uniquely.

Regulatory reporting

Data disclosed to regulators and reporting bodies under legal obligation, which the policy should acknowledge.

Third parties the draft will ask you about

Onfido or Persona · ComplyAdvantage · Experian, Equifax or TransUnion · Plaid or TrueLayer · Stripe or Modulr · AWS · Featurespace or Sift

The rules that apply

Anti-money-laundering retention

Identity and transaction records must be retained for statutory periods - commonly five years after the relationship ends - which is a legal obligation basis, not a choice.

GDPR Article 22

Automated decisions with legal or similarly significant effects require disclosure of the logic, human intervention and a challenge route.

Open banking consent

Regulated consent flows with defined durations and re-authentication, plus a distinct relationship with the account information provider.

Financial promotions and fair treatment

Marketing is separately regulated, with rules on clarity, risk warnings and target-market appropriateness.

Operational resilience and outsourcing

Regulators expect due diligence and exit plans for critical third parties, which overlaps heavily with processor governance.

What the generated acceptable use policy contains

Prohibited content and conduct
The categories you will not host, written specifically enough to enforce and narrowly enough to defend.
Technical restrictions
Rate limits, scraping, load testing, resource abuse and circumvention of quotas.
Security research boundaries
What testing is permitted, how to report a finding, and what will not be treated as an attack.
Reporting and moderation
How abuse is reported, what happens next, and the timescales you work to.
Enforcement ladder
Warning, throttle, suspension, termination - with the emergency route for genuinely urgent harm.
Appeals
How someone contests a decision, which several online-safety regimes now require rather than merely encourage.

Fintech compliance essentials

Map every automated decision
And write the Article 22 disclosure, the human review route and the challenge process.
Document AML retention as a legal obligation
With the period and the statute, so erasure refusals are explicable.
Identify the Article 9 condition for biometrics
Before onboarding goes live.
Explain the open banking chain
Who the aggregator is, what they access, how long consent lasts and how it is revoked.
Word the AML section carefully
Enough transparency to be lawful, without breaching tipping-off restrictions.
Align outsourcing due diligence with processor governance
The regulator and the data protection authority want overlapping evidence.

Where this usually goes wrong

No Article 22 disclosure for credit or fraud decisions

Automated decisioning is the norm in fintech and the disclosure is routinely missing.

Deleting data an AML obligation requires you to keep

Erasure requests do not override statutory retention, and the policy should explain why.

Biometric onboarding treated as ordinary processing

Unique identification via biometrics is special category data and needs an Article 9 condition.

Open banking consent presented as your own

The aggregator relationship and the regulated consent duration have to be explained.

Suspicious activity handling described in the policy

Tipping-off rules constrain what you may tell a customer, which means the policy has to be carefully worded rather than fully transparent.

Marketing to customers acquired through regulated flows

Financial promotion rules apply on top of consent, and the two are frequently conflated.

Frequently asked questions

Can a customer ask me to delete their KYC records?

They can ask, and you will usually have to refuse. Anti-money-laundering law requires retention for a statutory period, which is a legal obligation basis that overrides erasure - but the refusal has to be explained.

Does automated credit scoring trigger Article 22?

Where the decision is solely automated and has legal or similarly significant effects, yes. That entitles the individual to meaningful information about the logic, human intervention and a route to contest the outcome.

Is facial recognition for onboarding special category data?

Where it uniquely identifies a person, yes - biometric data processed for identification requires an Article 9 condition, typically explicit consent in a consumer context.

How should I describe open banking access?

Name the account information service provider, explain what is accessed, state the consent duration and re-authentication cycle, and explain how access is revoked.

Do I need an acceptable use policy separate from my terms?

A separate AUP is easier to enforce and easier to update. It also gives moderation staff and automated systems a single reference to cite, which matters when a suspension is challenged.

Does an AUP help with platform liability?

It is part of the picture. Intermediary liability protections generally depend on acting on notice, and both the EU Digital Services Act and the UK Online Safety Act expect published rules, a reporting route and an appeals process.

How specific should prohibited-use lists be?

Specific enough that a moderator can apply it consistently, with a residual catch-all. Lists that are only catch-alls get challenged; lists that are only specific leave gaps.