AI Risk Review for Fintech
Independent AI risk assessments for lending, trading, fraud detection, and AML. Get evidence-backed findings and an AI Risk Certificate that satisfies regulators, boards, and enterprise security reviews.
AI risk assessment built for Fintech
Fintech and financial services firms rely on AI for credit decisioning, fraud detection, algorithmic trading, and AML automation. When those systems fail or behave unpredictably, the consequences are regulatory, reputational, and financial. Regulators expect documented due diligence on AI governance and risk; enterprise buyers and partners expect evidence that your AI systems have been independently assessed.
RiskReview.AI provides fixed-scope, evidence-backed AI risk reviews designed for financial services. We assess your AI systems against relevant frameworks (including EU AI Act high-risk requirements, NIST AI RMF, and sector-specific expectations) and deliver findings, a remediation roadmap, and an AI Risk Certificate you can use in vendor questionnaires, board packs, and regulatory dialogue. Our engagements are run by offensive security engineers who understand both how AI systems work and how to break them, so you get real risk visibility, not compliance theater.
Why fintech needs independent AI risk assessment
AI-driven lending and underwriting models create fair lending and explainability exposure: regulators and counsel want to know how decisions are made and whether protected classes are disadvantaged. Algorithmic trading and execution systems need kill switches, audit trails, and clear accountability when something goes wrong. Fraud detection and AML workflows that use ML or LLMs can be gamed, evaded, or biased; and when they fail, examiners and partners will ask what you did to validate and monitor them.
We see common gaps: models deployed without documented validation, customer or transaction data flowing through third-party LLM APIs without proper controls, and no independent security testing (e.g. prompt injection or access abuse) before go-live. An independent AI risk review gives you a defensible baseline: what was in scope, what we tested, what we found, and what you are doing to remediate. That evidence is what boards, regulators, and enterprise procurement teams are increasingly asking for.
When to choose an AI risk review
Choose an AI risk review when you are preparing for a regulatory exam, a board or review committee request, or an enterprise customer's security and vendor risk review. Many fintechs use our Full AI Risk Review to satisfy procurement questionnaires and to demonstrate due diligence on AI governance. If you have a small number of systems and need a fast risk picture, the AI Snapshot Review (2–3 systems, about two weeks) is a practical first step. If you need ongoing visibility and annual recertification, the Continuous AI Risk Program builds on the full review with quarterly refreshes and yearly recerts.
Packages
We offer three packages so you can match scope to your stage and needs. The AI Snapshot Review ($15,000 USD) covers 2–3 systems in about two weeks. The Full AI Risk Review (from $65,000) is our most popular: complete assessment, security testing, compliance readiness, and an AI Risk Certificate. The Continuous AI Risk Program (from $120,000/year) adds quarterly reassessments and annual recertification. Pricing is fixed after a scoping call; there are no hidden fees or tool subscriptions. Payment terms are typically 50% to start and 50% on delivery of the final report and certificate.
AI Snapshot Review
$15,000 USD
2 weeks
Focused assessment of 2–3 AI systems with core security and governance. Ideal for getting a clear risk picture quickly.
Full AI Risk Review
From $65,000
4–6 weeks
Complete assessment of all AI systems with security testing, compliance readiness, and an AI Risk Certificate. Our most popular package.
Continuous AI Risk Program
From $120,000/year
Annual
Initial full review plus quarterly reassessments and annual recertification. Ongoing visibility and procurement support.
Process
Scoping & statement of work
We agree on which AI systems are in scope, data categories, compliance targets (e.g. EU AI Act, ISO 42001, sector rules), and timeline. You receive a fixed-scope statement of work and a clear proposal. No scope creep once we start.
Discovery & inventory
We build a complete inventory of in-scope AI systems: purpose, data flows, integrations, model provenance, and deployment. Data flow and retention are documented so we can assess governance and compliance.
Security testing
We run hands-on security testing tailored to AI systems: prompt injection, access control, API and integration exposure, and configuration review. Findings are evidence-backed and severity-rated.
Compliance & governance assessment
We score your posture against your target frameworks (e.g. EU AI Act, NIST AI RMF) and review governance, policies, and procedures. Gaps are documented with remediation guidance.
Reporting & certification
You receive a full report with findings, compliance readiness score, and a prioritized remediation roadmap. We issue an AI Risk Certificate and a board/regulator-ready summary. Optional executive and technical walkthroughs.