Automate customer support and product recommendations while protecting customer data, preventing refund fraud, and blocking competitor price scraping.
Protect customer PII including addresses, payment info, and order history. Redact sensitive data before AI processing.
Detect patterns of refund abuse and social engineering. Block manipulation attempts targeting return policies.
Identify and block automated queries designed to extract pricing, inventory, or product data for competitive intelligence.
Ensure AI assistants only reveal order information to verified customers. Prevent order hijacking attempts.
Ensure AI recommendations don't expose customer purchase history or preferences to unauthorized parties.
Require human approval for high-value refunds, account changes, and suspicious activity patterns.
Connect PromptGuard to your customer service AI, chatbots, and recommendation engines.
Enable fraud detection, customer data protection, and anti-scraping measures.
Handle peak traffic securely. Automated protection that scales with your business.
from promptguard import PromptGuard
pg = PromptGuard(
api_key="your-api-key",
project_id="customer-support"
)
# Configure e-commerce protections
pg.configure({
"ecommerce_mode": True,
"customer_protection": {
"enabled": True,
"redact_payment_info": True,
"redact_addresses": True,
"verify_order_ownership": True
},
"fraud_prevention": {
"detect_refund_abuse": True,
"block_social_engineering": True,
"flag_suspicious_patterns": True,
"require_approval_for_refunds_above": 100
},
"anti_scraping": {
"enabled": True,
"rate_limit_queries": True,
"block_bulk_price_requests": True
}
})
# Customer interactions are protected
response = pg.guard(
prompt=customer_message,
context={
"customer_id": customer.id,
"session_type": "support",
"order_id": order.id if order else None
}
)Deploy AI for customer support and recommendations with enterprise-grade protection.