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Watchlist

As explained in Financial AI in Practice

A watchlist is a collection of people or entities flagged for screening against specified risk or compliance concerns.

In fraud decisioning, watchlists are maintained collections of identifiers that influence how cases or transactions are handled. They complement model scores with explicit business rules and policy overlays. section 7.4.4

Common list types include:

  • Blacklists of known fraudulent identifiers, such as IP addresses or device IDs. section 7.4.4
  • Whitelists of trusted entities and graylists of entities under observation. section 7.4.4

Keep lists active and update them with new intelligence and investigation outcomes so they remain useful in decisioning. section 7.4.4

How Financial AI in Practice covers it

How deep it goes
Distinguishes blacklists, whitelists, and graylists and notes their updates and integration, without detailing implementation.
Examples
Uses blacklisted IP addresses and device IDs, trusted entities, and entities under observation as examples.
What you can do after
Operate watchlists by maintaining them, updating them with intelligence and investigation outcomes, and integrating them into decisioning.
How it connects
Connects watchlists to fraud detection, business rules, and decisioning.
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