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Who is Vesta
We’re a global Fintech pioneer with 25 years
of expertise in payment fraud protection & digital fraud
detection through the customer lifecycle
Who is Vesta
Our guaranteed services eliminate the fear of fraud
empowering ecommerce merchants to grow revenue
Advanced Artificial Intelligence Unmatched Consortium Data
Unique customer fingerprint
links sessions together.
General session metrics
(e.g., time spent on session, number of
pages viewed, etc.).
Capture key events
(e.g., registration, login, update profile,
loyalty account interaction, etc.).
Deep Link analysis tracks fraud network and
identifies users when they change devices or
networks. Detect fraudulent and unexpected
events at early stages.
Cutting-edge machine learning algorithms are
trained automatically and are constantly
updated in the online platform for optimal
performance, Patented technology improves
the accuracy of the analysis.
An end-to-end automated Machine learning
pipeline, allowing our data scientist to train
multiple models in hours instead of weeks.
Review alerts to provide labels for training
machine learning models, allowing for faster
fraud detection.
Unmatched Consortium Data.
eCommerce Telco Fintech/Banking
EE is the most popular mobile network in the UK (22%) with more than 30M customers (5.5M
prepaid) and more than 500 stores across the UK
How to migrate more EE prepaid customers
from indirect retail channel(s) to direct
channel(s), maintaining a best in class
customer experience & better understanding
its customer base
Before Vesta
In-house Fraud Management resulted in more than 1 in 10 payment requests being denied due to the fear of fraud
• Manual rules associated with transaction, value and thresholds
• Complex integration with multiple fraud vendors, inputs & latency challenges
• Only domestic cards accepted
• Heavy reliance on 3D Secure v1
• Manual review on MOTO channels (Live Agent & IVR)
• Feature gaps
• Fraud & Chargeback liability
1 2 How to control CNP fraud without negatively
impacting payment approval & denying legitimate
customers
The Challenge
A holistic, highly flexible, multi-layered approach to simplify the burden for our business customers
• Responsive HPP for
Web/Mobile
• Hosted IVR
• Hosted CSR UI
• PCI compliant
• Configuration centre
• Omni-channel
Payment Guarantee
against all CNP
transactions)
• Advanced ML models
• Real-time risk analysis
• Standalone 3D
Secure MPI
• Risk based invocation
of 3D Secure
• Leveraging all
available exemption
• Domestic &
International cards
• Apple Pay & PayPal
• New options include
QR codes & Open
Banking
• Text2Pay
• IVR with stored
payment device
• Direct Bundle
purchase
(Simple Payments)
• Account Updater
• One-click payments
for Web & App
• Optimised customer
experience &
conversions
• Webhook Event
notifications
• API (recurring trans)
• Direct flows / Re-
direct flows
• Plug-ins
• Multiple Acquirer set
up (DR/Approvals)
• Failover mechanism
• Conversion/KPI
Analysis
• 24x7x365 Global NOC
1. International Revenue Share Fraud
• Fraud ring purchase SIM cards & top up with stolen cards purchased on dark web
• Prepaid credit used to ring premium rate number (they own) in less regulated region
• Inter-carrier billing/Premium rate terminated calls now monetized & ‘legitimately’ accessible
2. Bulk SIM sales
• Fraud ring purchase 200-500 SIM cards in bulk on eBay
• Stolen cards used to top up SIM cards with high monetary value e.g. £30
• SIM cards sold on high-street or to tourists at discounted price e.g. £15 for cash
3. Account Takeover (ATO) attack
• Account is hacked through phishing/ MITM / Sim Swap fraud
• Authenticated account with stored card on file used to purchase credit for multiple prepaid accounts to be used for use case 1 or 2 above
• SIM cards sold on high-street or to tourists at discounted price e.g. £15 for cash
4. First Party ‘Friendly Fraud’
• Real customer using their own payment card(s)
• Tops up their numbers, friends & family etc. and then looks to chargeback transactions claiming ‘it wasn`t me’ or they had not requested top ups
• Growing trend & behaviour heightened by Covid / economic circumstances
Leveraging all available exemptions is key to driving higher approval rates
Low Value exemption threshold e.g. Under £30. Please note that this exemption doesn`t apply if either a customer has conducted either 5x
online transactions since the last challenge or if the total value of transactions since the last challenge exceeds £100. In these scenarios, a
challenge will be invoked
Low Risk payment exemption threshold e.g., Payment provider or bank`s overall fraud rate for card payments do not exceed
0.13% to exempt transactions under £100 | 0.06% to exempt transactions under £250 | 0.01% to exempt transactions under £500
Merchant Initiated transaction (MIT)
e.g., Recurring billing or Instalment based
transactions initiated by the merchant
Mail Order Telephone Order
(MOTO transactions)
e.g., Live Agent/Call centre, IVR, SMS etc.
Real-time Transaction Risk Analysis
Adoption of effective & risk-based analysis to
categorise transaction as low risk
Increased Sales Zero Fraud Liability Improved Customer
Experience
Vesta | Confidential & Proprietary
Thank You
www.vesta.io

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How the UK's #1 Mobile Network Enhanced Its Approval Rate by 10%, with Zero Fraud Liability

  • 1.
  • 2. Who is Vesta We’re a global Fintech pioneer with 25 years of expertise in payment fraud protection & digital fraud detection through the customer lifecycle
  • 3. Who is Vesta Our guaranteed services eliminate the fear of fraud empowering ecommerce merchants to grow revenue
  • 4. Advanced Artificial Intelligence Unmatched Consortium Data Unique customer fingerprint links sessions together. General session metrics (e.g., time spent on session, number of pages viewed, etc.). Capture key events (e.g., registration, login, update profile, loyalty account interaction, etc.). Deep Link analysis tracks fraud network and identifies users when they change devices or networks. Detect fraudulent and unexpected events at early stages. Cutting-edge machine learning algorithms are trained automatically and are constantly updated in the online platform for optimal performance, Patented technology improves the accuracy of the analysis. An end-to-end automated Machine learning pipeline, allowing our data scientist to train multiple models in hours instead of weeks. Review alerts to provide labels for training machine learning models, allowing for faster fraud detection. Unmatched Consortium Data.
  • 6.
  • 7. EE is the most popular mobile network in the UK (22%) with more than 30M customers (5.5M prepaid) and more than 500 stores across the UK How to migrate more EE prepaid customers from indirect retail channel(s) to direct channel(s), maintaining a best in class customer experience & better understanding its customer base Before Vesta In-house Fraud Management resulted in more than 1 in 10 payment requests being denied due to the fear of fraud • Manual rules associated with transaction, value and thresholds • Complex integration with multiple fraud vendors, inputs & latency challenges • Only domestic cards accepted • Heavy reliance on 3D Secure v1 • Manual review on MOTO channels (Live Agent & IVR) • Feature gaps • Fraud & Chargeback liability 1 2 How to control CNP fraud without negatively impacting payment approval & denying legitimate customers The Challenge
  • 8. A holistic, highly flexible, multi-layered approach to simplify the burden for our business customers • Responsive HPP for Web/Mobile • Hosted IVR • Hosted CSR UI • PCI compliant • Configuration centre • Omni-channel Payment Guarantee against all CNP transactions) • Advanced ML models • Real-time risk analysis • Standalone 3D Secure MPI • Risk based invocation of 3D Secure • Leveraging all available exemption • Domestic & International cards • Apple Pay & PayPal • New options include QR codes & Open Banking • Text2Pay • IVR with stored payment device • Direct Bundle purchase (Simple Payments) • Account Updater • One-click payments for Web & App • Optimised customer experience & conversions • Webhook Event notifications • API (recurring trans) • Direct flows / Re- direct flows • Plug-ins • Multiple Acquirer set up (DR/Approvals) • Failover mechanism • Conversion/KPI Analysis • 24x7x365 Global NOC
  • 9. 1. International Revenue Share Fraud • Fraud ring purchase SIM cards & top up with stolen cards purchased on dark web • Prepaid credit used to ring premium rate number (they own) in less regulated region • Inter-carrier billing/Premium rate terminated calls now monetized & ‘legitimately’ accessible 2. Bulk SIM sales • Fraud ring purchase 200-500 SIM cards in bulk on eBay • Stolen cards used to top up SIM cards with high monetary value e.g. £30 • SIM cards sold on high-street or to tourists at discounted price e.g. £15 for cash 3. Account Takeover (ATO) attack • Account is hacked through phishing/ MITM / Sim Swap fraud • Authenticated account with stored card on file used to purchase credit for multiple prepaid accounts to be used for use case 1 or 2 above • SIM cards sold on high-street or to tourists at discounted price e.g. £15 for cash 4. First Party ‘Friendly Fraud’ • Real customer using their own payment card(s) • Tops up their numbers, friends & family etc. and then looks to chargeback transactions claiming ‘it wasn`t me’ or they had not requested top ups • Growing trend & behaviour heightened by Covid / economic circumstances
  • 10. Leveraging all available exemptions is key to driving higher approval rates Low Value exemption threshold e.g. Under £30. Please note that this exemption doesn`t apply if either a customer has conducted either 5x online transactions since the last challenge or if the total value of transactions since the last challenge exceeds £100. In these scenarios, a challenge will be invoked Low Risk payment exemption threshold e.g., Payment provider or bank`s overall fraud rate for card payments do not exceed 0.13% to exempt transactions under £100 | 0.06% to exempt transactions under £250 | 0.01% to exempt transactions under £500 Merchant Initiated transaction (MIT) e.g., Recurring billing or Instalment based transactions initiated by the merchant Mail Order Telephone Order (MOTO transactions) e.g., Live Agent/Call centre, IVR, SMS etc. Real-time Transaction Risk Analysis Adoption of effective & risk-based analysis to categorise transaction as low risk
  • 11. Increased Sales Zero Fraud Liability Improved Customer Experience
  • 12. Vesta | Confidential & Proprietary