2023-09-13 10:00:00+00:00

Handling credit card data (PANs, CVVs, expiry dates) requires adherence to the Payment Card Industry Data Security Standard (PCI-DSS). Achieving PCI compliance is expensive and requires complex audits. The best strategy is to minimize your PCI scope: design your system so that your backend servers never see, store, or process raw credit card numbers.

We accomplish this using credit card tokenization at the frontend and strict data masking on the backend.


1. Tokenization at the Edge

During checkout, the client's web browser or mobile app sends the raw credit card details directly to the payment processor's SDK (e.g., CyberSource or Stripe). The payment processor returns a secure token, which the client then passes to your Go backend. Your servers only handle this token, keeping them out of the PCI-DSS scope.

2. Masking Card Numbers in Logs

If card numbers are mistakenly logged or stored during debugging, you violate compliance. We write a custom formatter for loggers that automatically scans strings and masks sequences that resemble card numbers:

var cardRegex = regexp.MustCompile((?:\d[ -]*?){13,16})

func MaskCardNumbers(input string) string {
    return cardRegex.ReplaceAllStringFunc(input, func(card string) string {
        clean := strings.ReplaceAll(card, " ", "")
        clean = strings.ReplaceAll(clean, "-", "")
        if len(clean) < 13 || len(clean) > 16 {
            return card // Not a card number
        }
        // Retain only the last 4 digits
        return "---" + clean[len(clean)-4:]
    })
}

Combining edge tokenization with log masking keeps your infrastructure secure and audit-ready.

Tokenization Proxies & Zero-PAN Microservice Boundaries for PCI-DSS SAQ-A/EP

Keep raw Primary Account Numbers (PAN) and CVVs completely outside core application microservices using hosted tokenization frames and vaulted gateway tokens.


About the Author — Hire Freelance Programmer Aldian Fazrihady

Aldian Fazrihady is a Top-Rated Senior Freelance Programmer, Freelance Full Stack Developer, and AI Application Engineer with 15+ years of production software engineering experience and Google Cloud Professional Cloud Architect & Data Engineer certifications. He specializes in building custom LLM & autonomous AI agents, RAG pipelines, Next.js/React PWAs, Python (Django/FastAPI), Go microservices, and serverless cloud infrastructure on Google Cloud Run and AWS.

Hire Aldian Fazrihady on Upwork | Book 1-Day Programming Service ($100 USD via Polar) | View Live AI Portfolio | Portfolio Directory | Send a Direct Message

Related Engineering Articles

Freelance Programmer Specializations & Category Hubs