Industry: Fintech
Control-heavy compliance operations for fintech teams
Manage high-risk data flows with governance workflows that align privacy obligations and security controls.
Primary pains
- Frequent audits and control attestations
- Cross-border data transfer complexity
- Slow remediation cycle for high-severity findings
Use cases
- Automated compliance scan cadence
- Risk register for control exceptions
- Executive reporting with evidence packs
Suggested workflows
Continuous scans + findings triage + risk acceptance approvals + board reporting workflow.
Compliance mapping
GDPR, CCPA, and UAE PDPL controls mapped to platform governance and risk outcomes.
Expected outcomes
Shorter audit cycles, stronger remediation discipline, and clearer risk posture visibility.
Frequently asked questions
KYC and AML rules require you to collect and retain identity data; GDPR requires you to minimise and delete it. They are reconciled through the legal-obligation basis: you keep what the financial regulation requires, for exactly as long as it requires, and no more. The retention schedule is where this is decided.
They can ask, and you must refuse for the data covered by the legal obligation — but you must tell them why, and you must still delete anything not covered by it. The right to erasure is not absolute, and 'we keep everything' is not a valid response.
It is a decision made solely by automated means with a legal or similarly significant effect — a credit refusal, for example. Article 22 restricts it, requires you to inform the individual, and gives them the right to obtain human intervention. This applies directly to automated underwriting and risk scoring.
Because they sit under a financial regulator as well as a data protection one, and the two ask different questions about the same systems. That means control evidence has to satisfy both audiences, which is why control testing and evidence traceability matter more here than in most sectors.