Security & Load-Time Report

Security controls, performance benchmarks, and threat mitigations for ClickMint A/B testing experiments.

ClickMint A/B Testing Experiments

Security & Load‑Time Evaluation Report


Executive Summary

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

PillarHighlights
SecurityEncryption and strict PII handling
PerformanceNear‑zero impact on page load time
ComplianceDesigned 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 with these security controls:

  • HTTPS everywhere
  • Origin Access Control
  • Signed URLs and cookies
  • Security headers
  • Logging and monitoring

4. Threat Model & Mitigations

ThreatMitigation
User re‑identificationOne‑way identifiers
TLS downgradeTLS 1.2+ and HSTS
Sensitive data leakageField‑level encryption
AI prompt exfiltrationEnterprise policies
Bot traffic skewAWS WAF bot control
DDoSAWS Shield + CloudFront

5. Performance Evaluation

Testing Methods

  • Lighthouse
  • WebPageTest
  • JMeter global load testing

Results

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

Performance Budgets

BudgetLimit
JS added≤ 10 KB
Main‑thread blocking≤ 30 ms
LCP delta≤ +50 ms

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.


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