AI SECURITY FOR FINANCIAL SERVICES
AI Security Assessment for Financial Services
Secure AI-driven trading, lending, and fraud detection while meeting evolving regulatory expectations.
AI Is Accelerating Finance — But Governance Cannot Keep Up
Algorithmic trading systems execute decisions in microseconds. Fraud detection models evaluate millions of transactions daily. AI-powered lending platforms make credit decisions that directly affect consumers' financial lives. In each case, the speed and scale of AI adoption in financial services has outpaced the governance frameworks meant to oversee it — and regulators have taken notice.
The gap between AI awareness and AI controls in finance is striking. According to IBM's 2025 Cost of a Data Breach Report, 39% of financial services employees admit to sending substantial private data to AI tools, even as the sector demonstrates the highest concern about data leaks of any industry. Meanwhile, the SEC's 2025 examination priorities explicitly target firms' AI capabilities and governance, assessing whether adequate policies and procedures exist to supervise AI use in trading, fraud prevention, and anti-money laundering operations.
The regulatory pressure is not theoretical. Under Superintendent Harris, the New York Department of Financial Services has entered consent orders with 27 entities for cybersecurity regulation violations, resulting in over $144 million in fines. As NYDFS Part 500's final requirements took effect in November 2025 — including mandatory MFA and comprehensive asset inventory programs — financial institutions that treat AI governance as optional face both enforcement risk and breach exposure that their competitors are already addressing.
Regulatory & Compliance Landscape
SOC 2
SOC 2 trust service criteria govern how financial services organizations handle customer data. AI systems that process, store, or transmit financial data must meet SOC 2 requirements for security, availability, and confidentiality — including AI-specific access controls and monitoring.
PCI DSS
The Payment Card Industry Data Security Standard applies wherever cardholder data flows. AI tools in payment processing, fraud detection, and transaction monitoring must comply with PCI DSS requirements for data encryption, access restriction, and vulnerability management.
SEC AI Examination Priorities
The SEC's 2025 examination priorities explicitly target AI capabilities at registered firms, assessing governance policies, supervisory procedures, and whether AI representations to clients are accurate — with enforcement focused on 'AI washing' and algorithmic transparency.
NYDFS Cybersecurity Regulation
Part 500 of the NYDFS regulations sets cybersecurity requirements for financial services companies operating in New York, with 2025 amendments requiring MFA, asset inventories, and access controls that directly impact how AI tools handle regulated data.
FINRA AI Guidance
FINRA expects broker-dealers and investment advisers to apply existing supervision, recordkeeping, and data privacy standards to AI tools — treating AI-generated communications and recommendations with the same compliance rigor as human-produced work.
What We Assess in Financial Services
AI in Algorithmic Trading
Evaluate governance over AI models driving trading decisions, including model validation processes, bias detection, auditability requirements, and human oversight mechanisms for automated execution.
Fraud Detection AI
Assess AI systems used for transaction monitoring and fraud detection, covering data access controls, false positive management, and the security of models that process sensitive financial data.
AI Lending & Credit Decisions
Review AI tools involved in credit scoring, loan underwriting, and lending decisions for fair lending compliance, explainability requirements, and consumer data protection.
Customer Data in AI Tools
Identify where customer financial data — account numbers, transaction histories, portfolio details — enters AI systems, and evaluate data handling, retention policies, and third-party AI vendor controls.
AI-Driven Risk Modeling
Assess AI systems used for market risk, credit risk, and operational risk modeling, including model governance frameworks, backtesting rigor, and regulatory reporting accuracy.
From Scoping Call to Secure AI Adoption
Scoping Call
We discuss your organization, AI usage, compliance obligations, and assessment goals. You receive a scoping questionnaire to complete before we begin. 30 minutes, no cost.
Discovery & Assessment
The assessment covers AI asset discovery, data flow analysis, security control evaluation, and compliance gap analysis using a proprietary methodology across 10 control domains.
Analysis & Reporting
Findings are risk-scored, prioritized, and documented in a comprehensive report package including executive summary, technical report, asset inventory, compliance matrix, and remediation roadmap.
Delivery & Remediation
We present findings to your leadership and technical teams, walk through the prioritized remediation roadmap, and provide a structured 30-day follow-up window for questions on the deliverables.
Assessment Scope Levels
The same methodology enterprise firms pay 10x for — at a price point built for mid-market budgets. Know exactly what you'll pay, what you'll get, and when it's done.
Focused
$7,500
4–6 weeks
Organizations (50–200 employees) beginning their AI governance journey
- Up to 10 AI tools assessed
- High-level data flow mapping
- 1 compliance framework (NIST AI RMF, CIS, ISO, etc.)
- Executive summary report
- AI asset inventory with risk classifications
- Compliance gap matrix
- Prioritized remediation roadmap
- Risk register
Scope confirmed during your free call
Comprehensive
$15,000
8–10 weeks
Mid-market organizations (200–500 employees) with active AI adoption
- Up to 50 AI tools assessed
- Detailed data flow mapping
- Up to 3 compliance frameworks
- AI control evaluation across 10 security domains
- Executive + technical reports
- AI asset inventory with risk classifications
- Compliance gap matrix
- Prioritized remediation roadmap
- Risk register
- 30-day follow-up advisory window
Scope confirmed during your free call
Every engagement starts with a free 30-minute scoping call to confirm the right tier for your organization. Flexible scheduling available to minimize disruption to your team.
Let's Assess Your Financial Services AI Security Posture
Every engagement starts with a free 30-minute scoping call.