31 lines
1.3 KiB
Markdown
31 lines
1.3 KiB
Markdown
---
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name: fraud-detection
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description: Use to monitor, investigate, and prevent abuse within referral programs.
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---
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# Referral Fraud Detection Skill
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## When to Use
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- Designing safeguards for new referral initiatives.
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- Investigating suspicious referral spikes, duplicate accounts, or payout anomalies.
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- Reporting on program integrity for finance, legal, or compliance teams.
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## Framework
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1. **Signal Collection** – IP/device matching, velocity checks, blacklist databases, manual reviews.
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2. **Scoring Model** – assign risk scores by cohort (new accounts, high-volume referrers, geo mismatch).
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3. **Workflow Automation** – auto-flag, queue for review, or pause rewards until verified.
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4. **Investigation Runbook** – define evidence gathering, communication templates, and resolution paths.
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5. **Feedback Loop** – update heuristics, adjust incentives, and communicate policy changes.
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## Templates
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- Fraud monitoring dashboard outline (metrics, thresholds, owners).
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- Investigation log (case ID, referrer, signals, action taken, notes).
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- Policy update checklist (legal, comms, ops, partner notifications).
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## Tips
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- Combine automated checks with random manual audits for accuracy.
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- Align with legal/finance on clawback procedures before launch.
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- Share learnings with `incentive-design` to discourage risky behavior.
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---
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