A/B Testing Security & Load

Security & Load‑Time Evaluation Report

Executive Summary

ClickMint's A/B testing platform delivers experiment agility without compromising security, privacy, or site performance.

Security

  • Encryption and strict PII handling.

Performance

  • Near‑zero impact on page load time.

Compliance

  • Designed to support global enterprise compliance including GDPR.


1. Data Protection & Privacy

Encryption

  • TLS 1.2+ in transit
  • AES‑256 at rest

PII Handling

  • Raw PII never stored or transmitted.
  • Identifiers converted into one‑way tokens.

Zero Internal Tracking

  • Reporting uses client analytics sources (GA4) or first‑party events.



2. Secure AI Integrations

OpenAI Enterprise

  • Prompts not used to train models.
  • Full encryption and audit logging.

Amazon Bedrock

  • Encryption at rest and in transit.
  • AWS KMS manages keys.
  • No prompt storage or training.



3. Edge Security & Delivery

ClickMint leverages Amazon CloudFront.

Security controls include: - HTTPS everywhere - Origin Access Control - Signed URLs and cookies - Security headers - Logging and monitoring




4. Threat Model & Mitigations

Threat Mitigation


User re‑identification One‑way identifiers TLS downgrade TLS 1.2+ and HSTS Sensitive data leakage Field‑level encryption AI prompt exfiltration Enterprise policies Bot traffic skew AWS WAF bot control DDoS AWS Shield + CloudFront




5. Performance Evaluation

Testing Methods

  • Lighthouse
  • WebPageTest
  • JMeter global load testing

Results

  • First load < 1.2s globally
  • Cached load < 100ms

Performance Budgets

  • ≤10KB JS added
  • ≤30ms main‑thread blocking
  • ≤+50ms LCP delta

Rollout Strategy

5% → 25% → 50% → 100%

Automatic rollback triggered by performance degradation or error spikes.




6. Governance & Operations

  • IAM least‑privilege roles
  • AWS KMS and Secrets Manager
  • Versioned deployments with staged rollouts
  • Monitoring via CloudWatch and GA4
  • Defined incident response procedures



Conclusion

ClickMint experiments remain secure, privacy‑preserving, and performance‑optimized while enabling rapid experimentation at scale.