Deploy AI assistants in financial services with confidence. Prevent unauthorized financial advice, block fraud attempts, and protect transaction data.
Built-in controls for Payment Card Industry compliance. Automatic detection and redaction of card numbers, CVVs, and financial account data.
Detect and protect account numbers, routing numbers, SSNs, and other sensitive financial identifiers before they reach your LLM.
Identify suspicious patterns in user interactions. Block social engineering attempts and manipulation tactics targeting financial systems.
Enforce limits on AI-assisted transactions. Require human approval for high-value operations and flag unusual activity.
Automatically enforce disclaimers for financial advice. Prevent your AI from providing unauthorized investment or legal guidance.
Complete logging of all AI interactions. Export-ready reports for regulatory audits and compliance reviews.
Deploy PromptGuard as a gateway for your AI applications. Works with customer service bots, robo-advisors, and internal tools.
Enable PCI-DSS mode, set transaction limits, and configure approval workflows for sensitive operations.
Generate compliance reports, maintain audit trails, and demonstrate regulatory adherence.
from promptguard import PromptGuard
pg = PromptGuard(
api_key="your-api-key",
project_id="banking-assistant"
)
# Configure financial-specific protections
pg.configure({
"pii_detection": {
"enabled": True,
"types": ["credit_card", "ssn", "account_number", "routing_number"],
"action": "redact" # or "block"
},
"financial_guardrails": {
"require_disclaimer": True,
"block_investment_advice": True,
"transaction_limit": 10000,
"require_approval_above": 5000
}
})
# Your AI interactions are now protected
response = pg.guard(
prompt=user_message,
context={"user_id": user.id, "account_type": "retail"}
)Deploy AI in banking and fintech with enterprise-grade security and compliance controls.