product-antifraud
Product Antifraud -- Log-Based Fraud Detection
| Aspect | Detail |
|---|---|
| Purpose | Rule-based fraud detection from application logs (registration + auth flows) |
| Approach | Pure Python + pandas -- counting, grouping, threshold problems |
| Not for | ML classification -- use at moderate volumes (~50K entries/day) |
| Outputs | Markdown report + CSV alerts for security teams |
When to Use This Skill
| Task | This Skill Applies |
|---|---|
| Building fraud detection scripts for registration or auth logs | Yes |
| Analyzing K8s application logs for suspicious behavioral patterns | Yes |
| Detecting bots, credential stuffing, or velocity abuse from structured logs | Yes |
| Auditing logs for GDPR PII exposure (unmasked emails, phones, names) | Yes |
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