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  1. App current solutions in place, Forter

  2. App's current vulnerabilities and potential points of attack (Diego?)

  3. Analyze historical data for fraud patterns and vulnerabilities (Radu / Iberia)

  4. Benchmark per industry and geography (?)

App current solutions in place

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/wiki/spaces/L/pages/3749282200

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/wiki/spaces/~62d96b60807cf6f78caa284d/pages/3959980134

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Priority (#)

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Topic

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Notes

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1

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/wiki/spaces/IN/pages/4254270051

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Implement specific rules for cash orders to avoid frauds (46% delivery orders are cash)

Forter BLOCK SIGN-IN WITH IP IN ANOTHER COUNTRY: https://app.launchdarkly.com/intl-guest-app/prod-plk-es/features/enable-block-by-region/targeting

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Forter

 

View file
nameForter & RBI Germany -- Introduction .pdf

Forter results in US

View file
nameTH US Pilot Recap - 7.23.21[49].pdf

Abuse Prevention Process - Flagging Potential Abuse

https://docs.google.com/document/d/1OMaLws85o2C1dGjT_p_nKkZiojMoELeZBiOG59COOXE/heading=h.x5bf9gfs5xoj#heading=h.s6d3dxy2kqfd

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Iberia needs

Topic

Notes

/wiki/spaces/IN/pages/4254270051

Implement specific rules for cash orders to avoid frauds (46% delivery orders are cash)

/wiki/spaces/EGMT/pages/4255419305 loyalty scenarios

https://rbictg.atlassian.net/wiki/spaces/MS/pages/4254138454/Popeyes+Spain+-+Loyalty+Comparison+-+Fraud+Assessment#1.-Earn---Kiosk---cash

Sort of user segmentation:

  • super users x 12 requests x month

  • first order to guarantee quality

  • issues/tickets opened to highlight on potential frauds

OTP Validation

Clientes Gold (DMP)

  1. Analyze historical data for fraud patterns and vulnerabilities (Radu / Iberia)

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