Financial Services

Your Clients' Data Stays on
Your Machines.

Traders, analysts, and customer service teams are using ChatGPT, Claude, and Copilot every day — pasting account numbers, portfolio positions, and customer SSNs into prompts. Shield sits on your firm's machines and stops financial data from ever reaching an external AI model. No cloud. No vendor access. Just a local proxy that redacts sensitive data before it leaves your network.

See Shield for Financial Services See Data Redaction in Action

PCI DSS 4.0.1

Payment card data standard

Any organization handling cardholder data must comply with PCI DSS 4.0.1 requirements. Sending card numbers, CVVs, or full magnetic stripe data to an external AI model creates an immediate compliance gap — cardholder data is leaving your controlled environment.

Source: PCI Security Standards Council

4+ Frameworks

Regulations governing financial AI use

Financial services firms must navigate PCI DSS, GLBA, SOX, and state-level regulations like NYDFS Part 500. Each framework imposes data protection requirements that extend to how employees use AI tools with customer and proprietary data.

Multiple regulatory bodies — PCI SSC, FTC, SEC, NYDFS

Zero

Data leaves your network

Shield runs locally on your machines — no cloud processing, no vendor data access. Customer records, trading algorithms, and internal models never reach external AI providers. The redaction mapping stays on your machine.

Shield operates within your network boundary

Financial data exposure through AI is a regulatory risk

When an employee pastes a customer's SSN, account number, or portfolio position into an AI prompt, that data leaves your controlled environment and arrives at an external provider's servers. Under PCI DSS, GLBA, SOX, and NYDFS Part 500, financial institutions are responsible for protecting customer nonpublic information — even when employees use third-party tools. Shield eliminates this vector entirely: sensitive financial data never leaves your network, so it never creates a compliance exposure.

Interactive Demo

What Financial Data Looks Like in AI Prompts

Three real-world scenarios where financial services employees send sensitive data to AI models. Click each tab to see the raw prompt with identifiable information — and how Shield redacts it before it leaves your network.

Quant Analyst Reviewing Portfolio Performance with AI

Before Shield

Analyze Q2 performance for client portfolio ACCT-8842-9917 (Client: Meridian Capital Partners). Positions: 45,000 shares AAPL at avg $187.32, 12,500 shares MSFT at avg $378.15, 8,200 shares NVDA at avg $892.40. Quarter P&L: +$2,847,500. Compare against S&P 500 benchmark and suggest rebalancing. Client contact: Robert Chen, robert.chen@meridiancap.com, 212-555-0147.

After Shield

Analyze Q2 performance for client portfolio [ACCOUNT_NUMBER] (Client: [CLIENT_NAME]). Positions: [QUANTITY] shares [TICKER] at avg [PRICE], [QUANTITY] shares [TICKER] at avg [PRICE], [QUANTITY] shares [TICKER] at avg [PRICE]. Quarter P&L: [AMOUNT]. Compare against S&P 500 benchmark and suggest rebalancing. Client contact: [PERSON_NAME], [EMAIL], [PHONE].

Detected (6 matches)

PII — AccountACCT-8842-9917

PII — NameMeridian Capital Partners

PII — NameRobert Chen

PII — Emailrobert.chen@meridiancap.com

PII — Phone212-555-0147

Confidential — Financial$2,847,500

Compliance

How Shield Maps to Financial Regulations

Financial services firms operate under multiple overlapping regulatory frameworks. Shield's local proxy architecture provides a single technical control that supports compliance across PCI DSS, GLBA, SOX, and NYDFS Part 500 — without adding cloud dependencies to your audit scope.

Framework	Scope	Key Requirement	How Shield Helps
PCI DSS 4.0.1	Payment card data	Req. 3 — Protect stored cardholder data; Req. 4 — Encrypt transmission across open networks	Redacts PANs, CVVs, and track data before they reach external AI providers. Cardholder data never transmits across open networks in cleartext.
GLBA Safeguards Rule	Customer nonpublic personal information (NPI)	Design and implement safeguards to protect customer information against unauthorized access	Automatic detection and redaction of NPI — names, account numbers, SSNs, income data — before prompts leave your network. Acts as a technical compensating control.
Sarbanes-Oxley (SOX)	Financial reporting integrity	Section 404 — Management assessment of internal controls over financial reporting	Prevents accidental exposure of financial data, earnings projections, and material nonpublic information through AI prompts. Audit logging supports control documentation.
NYDFS Part 500	Cybersecurity program for financial services	500.11 — Third-party service provider security policy; 500.07 — Access controls	Ensures sensitive nonpublic information is redacted before transmission to AI providers (third-party services). Audit trail supports 500.06 documentation requirements.

Architecture

Financial Data Never Leaves Your Network

Shield runs as a local proxy on your firm's machines. When a trader, analyst, or support agent sends a prompt to an AI model, Shield intercepts it — redacts all sensitive financial data — and only then forwards the clean prompt to the external LLM. The redaction mapping stays on your machine, inside your network boundary.

Local Installation

Install Shield on any Mac, Windows, or Linux machine. No cloud infrastructure, no vendor data access, no data leaves your network.

One Environment Variable

Set SHIELD_PROXY_URL and every AI call from that machine flows through Shield automatically. Zero code changes to your existing tools — Bloomberg, CRM, or internal platforms.

Full Audit Trail

Every redaction event is logged with a cryptographic hash. Prove to auditors and regulators exactly what data was caught and when — with tamper-evident integrity.

Configurable Policies

Choose which data categories to redact — PII, PCI, proprietary. Add custom patterns for your firm's internal account numbering schemes. Run in audit-only mode to validate coverage first.

FAQ

Common Questions

Yes — Shield directly supports PCI DSS Requirement 3 (protect stored cardholder data) and Requirement 4 (encrypt transmission of cardholder data across open, public networks). When a financial services employee sends a prompt containing a credit card number, Shield redacts it before the data leaves your network. The card number never reaches the external AI provider, so it's never transmitted across an open network in cleartext. Shield also logs every redaction event with a cryptographic hash, supporting your audit and monitoring requirements under Requirement 10.

The GLBA Safeguards Rule requires financial institutions to protect customer information against unauthorized access. When employees use AI tools, customer nonpublic personal information (NPI) — names, account numbers, income data, credit histories — can be exposed through prompts. Shield acts as a technical safeguard by automatically detecting and redacting NPI before it reaches external AI providers. This is a compensating control that strengthens your information security program without adding cloud dependencies.

Yes. Beyond PII and payment data, Shield's filter packs can be configured with custom patterns to detect and redact proprietary information — trading strategy parameters, model weights, alpha signals, position sizing rules, and internal research. The secret detection engine uses entropy analysis to identify data that doesn't match a known format but exhibits high-information-density patterns characteristic of proprietary models and encoded financial data.

Shield operates at the API proxy layer — it sits between your AI client and the LLM provider. It doesn't need to integrate with any specific financial data platform. As long as the AI request flows through Shield's local proxy, sensitive data is redacted regardless of which platform generated it. This makes Shield compatible with any financial software stack that uses API-based AI tools.

NYDFS Part 500 requires financial services companies to implement a cybersecurity program with specific controls including access management (500.07), risk assessment (500.09), and third-party service provider security (500.11). Shield supports these requirements by ensuring that when employees use AI tools — which are third-party services — sensitive nonpublic information is redacted before transmission. Shield's audit logging also supports the documentation requirements under 500.06 (audit trail).

Shield installs on any Mac, Windows, or Linux machine. You set one environment variable — SHIELD_PROXY_URL — and every AI call from that machine routes through Shield automatically. No code changes to your existing trading platforms, CRM systems, or internal tools. For institutional deployment, Shield supports enterprise configuration management so your IT team can roll it out across desks, departments, or the entire firm with consistent policies and centralized audit collection.

Ready to Lock Down Your Financial Data?

Shield installs in minutes. Your trading algorithms, client portfolios, and customer PII stay on your machines — where regulators and your compliance team expect them to be.

Talk to Our Team Learn About Shield

Your Clients' Data Stays onYour Machines.