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Consulting about fraud management | Ads Trust & Safety @ Yandex

Fraud Risk Management Decomposition The majority of people, when they hear “fraud,” would think about banking or financial organizations where anti-fraud teams are fighting against unauthorized payments, remittances, identity fraud, etc. But it is only the tip of the iceberg. Other realms, penetrating throughout our everyday life, require fraud protection as well: 🚕 Commute - a taxi system abuse to disrupt the service (calling all vehicles to the same point); drivers trying to increase dynamic rates artificially; 🔍 Search engines - abusive SEO practices; wasting a competitor's ad budget; earning money as an ad publisher through bot traffic; 🍜 Food delivery - carrier and restaurant fraud; 🛍 Marketplaces - fake ratings and reviews; artificially created scarcity of a competitor’s goods; delivery points fraud; 💱 Market abuse on exchanges (funds, forex, crypto) and a large bunch of others. Every step within these domains has its risks, which could either cost money as lost revenue or disrupt the business itself. Every successful company in these domains has its fraud prevention team. But do those fraud management frameworks have something in common? The answer is yes, there are common principles that build a basis for organizing defense in every type of business. There are specific parts of fraud risk management that apply to any single domain: 1 - Customers; 2 - Assets; 3 - Metrics; 4 - Monitoring; 5 - SLAs; 6 - Laws and rules; 7 - Resources; 8 - People; 9 - Feedback sources; 10 - Investigations. In the next posts, I’ll expand on each of the bullets. How do you think, is there a basis of methodology for fraud prevention, applicable to any domain?

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