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USE CASE: E-COMMERCE & RETAIL

Secure AI for retail & commerce

Automate customer support and product recommendations while protecting customer data, preventing refund fraud, and blocking competitor price scraping.

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ABUSE, COUNTED PER CLIENTschematic
requests, per client fingerprintfp 7a3cfp 1e90fp b204fp 55daper-key ceilingthrottledand independently, of every single requestwire transfer · gift-card codes · credential harvestingblocked on one message
Retail abuse is a rate-and-identity problem before it is a content problem. Requests are counted per fingerprint against your key's ceiling — and the fraud patterns are checked independently, because one well-worded refund scam does not arrive in a burst.

Where a retail assistant is exposed

  1. 01

    Customer Data Protection

    Protect customer PII including addresses, payment info, and order history. Redact sensitive data before AI processing.

  2. 02

    Refund Fraud Prevention

    Detect patterns of refund abuse and social engineering. Block manipulation attempts targeting return policies.

  3. 03

    Competitor Scraping Defense

    Identify and block automated queries designed to extract pricing, inventory, or product data for competitive intelligence.

  4. 04

    Order Information Security

    Ensure AI assistants only reveal order information to verified customers. Prevent order hijacking attempts.

  5. 05

    Product Recommendation Safety

    Ensure AI recommendations don't expose customer purchase history or preferences to unauthorized parties.

  6. 06

    Transaction Guardrails

    Require human approval for high-value refunds, account changes, and suspicious activity patterns.

Why PromptGuard for e-commerce?

  • E-commerce-specific fraud detection
  • Customer data protection built-in
  • Anti-scraping capabilities
  • Order verification workflows
  • Scales with peak traffic

How it works for e-commerce

  1. 01

    Integrate

    Connect PromptGuard to your customer service AI, chatbots, and recommendation engines.

  2. 02

    Protect

    Enable fraud detection, customer data protection, and anti-scraping measures.

  3. 03

    Scale

    Handle peak traffic securely. Automated protection that scales with your business.

Securing e-commerce AI

python
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
    }
)

The controls this sector runs on

Secure your e-commerce AI

Deploy AI for customer support and recommendations with enterprise-grade protection.

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