Banks will audit your AI model before they sign.
FinTech AI founders face the most scrutinised procurement process of any sector. Your product may touch PSD2, MiFID II, GDPR, and the EU AI Act simultaneously. When a bank, insurer, or asset manager asks how you handle it, a vague answer doesn't just lose the deal — it can end your business.
When your AI FinTech product hits a bank's risk committee
The demo goes well. The bank's innovation team loves it. Then it goes to their vendor risk committee.
You: Our AI analyses transaction history and credit signals to approve or decline loans in under 30 seconds.
Risk Committee: Is your credit scoring model subject to EU AI Act Article 6 high-risk classification? What's your transparency documentation?
Risk Committee: Which LLM provider processes customer financial data? Do you have a DPA and where is data processed?
Risk Committee: Can you produce an individual explanation for every credit decision your model makes?
You: We're working with our legal team on the documentation. We should have it in a few weeks.
Risk Committee: This will need to go through our full third-party AI risk assessment process. Timeline is 6–9 months.
AI credit decisions under EU AI Act
Automated credit scoring is explicitly high-risk under EU AI Act Article 6. Explanation requirements are mandatory — most fintech founders don't know this until the risk committee flags it.
Financial data in third-party LLMs
Sending account and transaction data to OpenAI or Anthropic without a DPA and data residency controls violates both GDPR and most banks' third-party risk policies.
Model explainability demands
Enterprise banks require explainability for every AI decision that affects a customer. Black-box models fail this test automatically — and regulators are catching up fast.
PSD2 open banking attack surface
LLM pipelines that process open banking transaction feeds create new attack vectors that legacy fintech security frameworks were never designed to address.
Six questions that freeze FinTech AI deals
These are the exact questions bank procurement and vendor risk teams ask FinTech AI vendors. Most founders cannot answer them without months of preparation. We make sure you can.
“Is your credit or risk AI model subject to EU AI Act high-risk classification?”
Automated systems that affect creditworthiness are explicitly listed as high-risk. Almost never assessed before procurement.
“Can you provide a per-decision explanation for every model output?”
Requires purpose-built explainability infrastructure, not an afterthought. Most AI models cannot produce this without architectural changes.
“How do you ensure financial transaction data is never retained in LLM context?”
Requires explicit API configuration, DLP layers, and documented policy. Rarely in place out of the box.
“What is your data residency and can you confirm EU-only processing?”
Default LLM API calls route through US infrastructure. Immediately non-compliant for most European banks.
“How do you handle PSD2 data access consent revocation in real time?”
Requires real-time consent state management tied to your data pipeline. Almost never built into early-stage AI products.
“Do you have SOC 2 Type II and what is your financial data pen test cadence?”
Type II requires 6–12 months of audit evidence to produce. The deal won't wait.
What we fix for FinTech founders
Every advisory and engineering engagement covers the specific issues that block bank and institutional deals in this sector.
EU AI Act financial risk classification
We assess whether your credit scoring, risk modelling, or fraud detection systems fall under EU AI Act high-risk classification — and produce the transparency documentation banks will ask for at procurement.
Model explainability architecture
We design and implement explainability layers for your AI models so your system can produce a clear, auditable explanation for every individual decision it makes — in a format regulators and banks accept.
GDPR-compliant LLM pipeline for financial data
We redact sensitive financial data before it reaches any LLM API, put DPAs in place with every provider, and document your data residency in a format bank procurement teams can approve without a six-month review.
PSD2 and open banking security review
We audit your open banking integrations, reduce OAuth scopes to minimum necessary access, and build real-time consent revocation handling into your data pipeline before the bank's security team finds the gaps.
Bank procurement questionnaire prep
We pre-answer the third-party AI risk questionnaire specific to bank and institutional procurement. When the vendor risk committee sends their form, you send it back the same week.
Three ways to work with CYBNODE
Choose the right entry point for where you are right now.
Our Capabilities
We provide strategic insight on building automated, secure, and scalable digital solutions for your business.
Consulting
“We have a team. We just need expert guidance on securing our AI product.”
- AI security architecture review.
- Threat model for your specific stack.
- GDPR & EU AI Act gap analysis.
- Remediation roadmap your team can action.
- Enterprise security questionnaire prep.
Build With Us
“We need someone to build our AI product securely from the ground up.”
- Full AI product development (all 5 layers).
- Secure agent & LLM pipeline design.
- GDPR-compliant data architecture.
- Stravok™ integrated from day one.
- Compliance docs included at delivery.
- Enterprise security questionnaire ready.
Stravok™ Platform
“We want to run security and compliance ourselves. We just need the right tool.”
- Automated vulnerability scanning on every push.
- Visual security pipeline builder.
- Live compliance score (ISO 27001, GDPR, SOC 2).
- One-click audit-ready reports.
- Hardcoded secrets & drift detection.
Ready to get your FinTech AI into banks?
Book a free 30-minute security review. We'll tell you exactly where your FinTech AI product is exposed — before the bank's vendor risk committee does.