AI Security for Financial Services
Secure financial AI applications while maintaining regulatory compliance
About AI Security in Fintech
Financial technology companies use AI for fraud detection, customer service, trading analysis, and personalized financial advice. These applications handle sensitive financial data including payment card information, account details, and personal financial records. Wardstone ensures fintech AI applications meet PCI-DSS, SOX, and other financial regulations while blocking attacks that could lead to fraud or data breaches.
AI Security Challenges in Fintech
Financial Data Exposure
AI systems handling account numbers, SSNs, and payment information risk exposure through prompt attacks or output leakage.
Fraud via AI Manipulation
Attackers can manipulate AI-powered fraud detection or customer service bots to authorize fraudulent transactions.
PCI-DSS Compliance
Any system handling payment card data must comply with PCI-DSS, requiring strict access controls and data protection.
Trading AI Security
AI systems providing trading insights or executing trades must be protected from manipulation attacks.
Use Cases for Fintech
Customer Service Bots
Secure AI assistants handling account inquiries, disputes, and transactions
Fraud Detection
Protect AI fraud systems from adversarial manipulation
Financial Advisory
Secure robo-advisors and AI-powered financial planning tools
Document Processing
Protect AI handling loan applications, KYC, and compliance documents
Compliance Support
PCI-DSS
Payment Card Industry Data Security Standard for handling cardholder data
Wardstone detects and blocks credit card numbers, CVVs, and other payment data in AI interactions.
SOX
Sarbanes-Oxley Act requires accurate financial reporting and internal controls
Audit logging and access controls help demonstrate SOX compliance for AI-assisted financial processes.
GLBA
Gramm-Leach-Bliley Act protects consumers' financial privacy
PII and financial data detection prevents unauthorized disclosure of customer financial information.
Fintech AI Security Architecture
Multi-layer protection for financial AI applications
Threats We Protect Against
PII Exposure
highThe unintended disclosure of Personally Identifiable Information (PII) such as names, addresses, SSNs, credit cards, or other personal data through LLM interactions.
Data Leakage
highUnintended exposure of sensitive information, training data, or system prompts through LLM outputs.
Prompt Injection
criticalAn attack where malicious instructions are embedded in user input to manipulate LLM behavior and bypass safety controls.
Social Engineering via LLM
mediumUsing LLMs to generate personalized phishing, scam, or manipulation content at scale.
Related Industry Solutions
Ready to secure your fintech AI?
Start with our free tier to see how Wardstone protects your applications, or contact us for enterprise solutions.