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Secured AI - Protecting You in the AI Age
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Financial Services

AI Privacy for Financial Institutions

Enable AI adoption while meeting GLBA, SOX, SEC, and PCI DSS requirements. Protect customer data, trading information, and confidential business data across all AI workflows.

Regulatory Compliance

Financial services AI must navigate complex regulatory requirements across multiple frameworks.

GLBA (Gramm-Leach-Bliley Act)

Requires financial institutions to protect customer financial information

How Secured AI Helps

Detect and mask NPI (nonpublic personal information) before it reaches AI services

SOX (Sarbanes-Oxley)

Mandates internal controls for financial data

How Secured AI Helps

Provide access controls and encryption for AI-related data handling

SEC/FINRA Rules

Requirements for data retention, supervision, and customer protection

How Secured AI Helps

Maintain records of AI interactions with financial data for compliance review

PCI DSS

Payment card industry standards for cardholder data protection

How Secured AI Helps

Detect and mask payment card numbers, CVVs, and related data in AI workflows

Financial Data Protection

Comprehensive detection for financial services data types.

Customer PII

  • Social Security Numbers
  • Account Numbers
  • Tax IDs
  • Driver License Numbers

Financial Data

  • Credit Card Numbers
  • Bank Account Numbers
  • Routing Numbers
  • Investment Account Details

Trading Information

  • Order Details
  • Position Data
  • Trading Strategies
  • Client Portfolios

Confidential Business

  • Deal Terms
  • M&A Information
  • Non-Public Financials
  • Client Lists

Enterprise Controls

Technical safeguards designed for financial services compliance.

Financial Data Detection

ML models trained on financial data patterns including accounts, cards, and transaction details

Automatic Protection

Sensitive financial data is masked before reaching any AI service

Reveal Technology

Restore masked values in AI responses for usable business output

Compliance Tracking

Complete logs meeting SOX and SEC record-keeping requirements

Access Controls

Role-based policies aligned with financial services compliance requirements

Real-Time Alerts

Immediate notification when high-risk data is detected in AI workflows

Financial Services Use Cases

Enable AI across your financial institution.

Client Communication

Draft client correspondence with AI while automatically protecting account details and personal information

Research & Analysis

Use AI for market research and analysis while keeping proprietary data and trading strategies protected

Compliance Documentation

Generate compliance reports and documentation with AI assistance while maintaining data controls

Operations Automation

Streamline back-office operations with AI while ensuring customer data stays within compliance boundaries

Frequently Asked Questions

How does Secured AI help with GLBA compliance?
We detect and protect nonpublic personal information (NPI) as defined by GLBA before it reaches any AI service. This includes customer names, account numbers, and financial transaction details. Controls are documented for compliance verification.
Can we use AI with trading data?
Yes. Configure policies to mask specific trading data types while allowing AI use for analysis and documentation. You control what can be shared and what must be protected based on your compliance requirements.
How does Secured AI help protect payment card data?
Secured AI does not hold PCI DSS certification. However, we detect and mask payment card data (PANs, CVVs, expiration dates) in AI workflows, which helps prevent cardholder data from reaching AI services. This detection and masking capability can be a useful layer in your broader PCI DSS compliance program.
What about SEC retention requirements?
All AI interactions are logged with configurable retention periods. Logs include what data was detected, what actions were taken, and by whom—supporting SEC and FINRA supervision and recordkeeping requirements.
Can different teams have different policies?
Yes. Role-based policies let you configure different rules for different teams. For example, trading desk vs. retail banking vs. compliance teams can have distinct data protection rules.

Enable AI Across Your Financial Institution

See how Secured AI helps financial services firms adopt AI while maintaining compliance.

AES-256 encryption • Enterprise security • Compliance-ready documentation