AI Security & Compliance in Finance

20 practitioner guides covering AI security for financial institutions — from AML/KYC and OFAC sanctions screening to DORA, SOX, GDPR, model risk governance, fraud detection, and secure MCP deployment. Each guide includes copy-paste Claude prompts at regulatory exam depth.

20 articles 150+ Claude prompts Bank · AM · Fintech

01 Regulatory Compliance

Sanctions, AML/KYC, SOX, GDPR/CCPA, Solvency II, and PSD3 — how AI accelerates the compliance workflows that banks, asset managers, and payment firms spend the most time on.

OFAC Sanctions Compliance

SDN list screening, false-positive adjudication, CLEAR/ESCALATE disposition documentation, and OFAC penalty case studies.

KYC & AML Screening

Customer due diligence (CDD/EDD), beneficial ownership analysis, PEP screening, and SAR narrative drafting at BSA/FinCEN exam depth.

AML & Financial Crime

Transaction monitoring tuning, typology analysis, BSA/AML exam preparation, and OCC/FDIC corrective action response drafting.

SOX Compliance AI

Section 302/404 controls documentation, ITGC narrative generation, deficiency classification (control deficiency vs. material weakness), and auditor evidence packages.

GDPR & CCPA for Financial Data

Data subject rights workflows, DPIA drafting for AI processing, legitimate interest assessments, and cross-border transfer documentation (SCCs, BCRs).

Solvency II Article 41 Compliance

Governance system requirements, ORSA narrative drafting, SCR/MCR commentary, and SFCR/RSR regulatory reporting for EU insurers.

PSD3 & Open Banking Security

Strong customer authentication (SCA) analysis, open banking API security assessment, liability shift mechanics, and PSD3 gap analysis vs PSD2.

02 ICT Risk & Operational Resilience

DORA, SR 11-7/SR 26-2, cyber risk quantification, third-party vendor risk — the frameworks regulators are actively examining in 2026.

DORA Compliance with Claude

ICT risk management framework (Article 6), major incident notification (Article 19) within 4-hour window, and threat-led penetration testing (TLPT) documentation.

DORA ICT Risk Management

ICT asset register maintenance, ICT third-party provider contract compliance (Article 30), exit strategy documentation, and register of information filing.

SR 26-2 & GenAI Model Risk

GenAI carve-out from SR 11-7, tiered governance implications, hallucination as model risk, validation framework for LLM-based tools in banking.

Model Risk Management

SR 11-7 model inventory, conceptual soundness documentation, back-testing, ongoing monitoring reports, and common OCC/Fed MRM examination findings.

Cyber Risk Quantification (FAIR)

Factor Analysis of Information Risk (FAIR) model applied to financial institutions: LEF, TEF, DIFF, LM components, Monte Carlo loss distribution, and board-level reporting.

Third-Party Vendor Risk

OCC Bulletin 2013-29 compliance, vendor tiering, due diligence questionnaire analysis, contract review, and ongoing monitoring scorecards for critical service providers.

03 Fraud Detection & Prevention

Financial statement fraud, deepfake attacks, and forensic accounting — how AI accelerates detection while maintaining the audit trail required for legal proceedings.

Financial Statement Fraud Detection

Beneish M-Score, Benford's Law, AR-revenue divergence, revenue recognition red flags, Wirecard and Enron pattern analysis. Forensic accountant's Claude workflow.

Financial Deepfake Fraud Prevention

CEO fraud (BEC), synthetic identity detection, voice-clone wire transfer attacks — detection frameworks, callback verification protocols, and staff training materials.

04 AI-Specific Security

Security risks that are unique to deploying AI in financial workflows — prompt injection, hallucination, data privacy leakage, and secure MCP server deployment.

AI Security in Finance

Data privacy risk when using LLMs with client data, model governance, EU AI Act obligations for financial firms, and the NIST AI RMF applied to finance.

Prompt Injection

Prompt Injection Attacks on Financial AI

Attack taxonomy (direct, indirect, multi-turn), highest-risk financial pipelines, three-layer defense (input validation, instruction isolation, output monitoring), and audit trail requirements.

AI Hallucination Prevention in Finance

Prompt techniques that reduce hallucination (chain-of-thought, citation requirements, uncertainty flagging), model-risk classification, and human-in-the-loop checkpoints.

Secure MCP Deployment for Finance

MCP server authentication (API key, OAuth), network isolation (VPC, private endpoints), audit logging, secrets management, and DORA/SR 11-7 mapping for MCP-based AI pipelines.

Quick-Start Prompts

"Screen this entity against the OFAC SDN list: [name, DOB, nationality, address]. For any potential match, document the comparison analysis, CLEAR or ESCALATE disposition, and the analytical rationale for my compliance record."
"Score this customer for AML risk using a three-tier (Low/Medium/High) framework: [customer profile]. Compute the risk score, identify the highest-risk factors, and recommend the CDD/EDD level required under FinCEN Customer Due Diligence Rule."
"Run a Beneish M-Score analysis on this company's financials [paste last 2 years]. Identify which of the 8 DSRI, GMI, AQI, SGI, DEPI, SGAI, LVGI, TATA ratios are in alert territory. Does the M-Score suggest earnings manipulation?"
"Draft the DORA major incident initial notification for this ICT incident: [incident details]. Cover: reference number, detection timestamp, classification rationale, estimated impact, containment measures, and expected recovery timeline — in EBA ITS format."
"Map our AI tool [description] to the SR 26-2 GenAI model risk framework. Is it subject to SR 11-7 full validation? What documentation is required? What ongoing monitoring is appropriate?"

MCP Setup for Compliance Workflows

{
  "mcpServers": {
    "claudefinlab-compliance": {
      "url": "https://claudefinancelab.com/compliance/sse"
    },
    "sec-edgar": {
      "url": "https://claudefinancelab.com/edgar/sse"
    }
  }
}

The compliance server provides OFAC SDN list access, FinCEN guidance library, DORA technical standards, and SOX control templates. The SEC EDGAR server enables direct 10-K/10-Q/8-K retrieval for fraud analysis.

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