eCommerce security & compliance solutions

Build PCI DSS compliance by isolating payment processing in a scoped environment (tokenization vault), never storing full PANs (use tokenized card IDs), enforcing TLS 1.3+, and logging all access without card data. Use HSMs for key management, pass SAQ-D audits quarterly, and implement quarterly pentests; even without gateways, outsource to PCI-certified processors via APIs for true Level 1 scope reduction.

Secure forms with client-side tokenization (Stripe Elements, no card data to your server), API auth via JWT/OAuth2 with short expiry and IP/device binding, and data encryption (AES-256 at rest, TLS everywhere). Add client-side CSP, rate limiting on login/cart, and OWASP Top 10 mitigations (XSS/CSRF via headers, input validation).​

Pipe real-time transaction streams (user agent, IP, device fingerprint, velocity, amount patterns) through a streaming ML pipeline (Kafka → model server → decision engine) scoring risk <100ms. Block/flag high-risk via API response, with human review queue; retrain weekly on labeled fraud data.​

Isolation Forest or XGBoost autoencoders work best for unsupervised anomaly detection on behavioral signals (login velocity, cart abandonment patterns, geolocation jumps). Add supervised classifiers for labeled fraud (payment fails, chargebacks) and NLP models for review spam; ensemble scores with business rules for 95%+ precision.

Implement granular consent banners (legitimate interest toggles), store preferences in GDPR-compliant DB with timestamps, and build self-service data export/deletion APIs (DSAR fulfillment <30 days). Auto-purge PII after retention periods, log all processing for audits, and use privacy-by-design (minimize data collection, pseudonymization).

Use secure cookies (HttpOnly, Secure, SameSite=Strict) with short session expiry (15-30min idle), refresh tokens with rotation, and fingerprinting (device ID + behavioral biometrics) to detect hijacks. Bind sessions to IP/device, implement CSRF tokens per request, and log/terminate anomalous sessions (sudden IP change, unusual UA).​