Stu Ward, Director of Financial Services APAC, Confluent James Gollan, Enterprise Solutions Engineer ANZ, Confluent

1. Real-time fraud detection (Session + Demo)
Stu Ward, Director of Financial
Services APAC, Confluent
James Gollan, Enterprise Solutions
Engineer ANZ, Confluent

2. Fraud and Scams major issue for Australians

3. Which industries are impacted?

4. What is the cost of
recovery?
Every $1 of fraud now
costs the industry $4.

5. Why can’t companies stop fraud, despite having made
massive investments in technology?
Organizational design has led to
operational silos.
● Fraud teams and Cyber Security operating
independently.
01
Fraud teams typically work with
structured data from the GL or
databases, watch lists etc.
02
Cyber Security teams typically work
with unstructured data sources
from logs. This data is rich in clues,
but often the fraud teams don’t
have access to it.
03
Many fraud detection systems
focus on individual types of fraud,
e.g. transaction fraud.
04

6. Fraud attacks come in many forms
Phishing & Smishing Insider threat Scams
Market abuse and
Rogue trading
Invoice and Payroll
fraud
Application fraud
Stolen cards &
Stolen credentials
ATM / IDM fraud
By Now Pay Later
(BNPL) scams
Money laundering Tax fraud
Insurance claims
fraud
Claims
exaggeration
Insurance premiums
application fraud
Benefit fraud …
Cheque fraud Crypto scams Gift-card fraud
Cyber security
breaches & attacks
Transaction fraud
Cross-border
payments fraud
Account takeover Synthetic identities
The impact of fraud goes beyond just financial losses. Damage to reputation and brand hinders a firm’s ability
to attract and retain customers, partners and employees, impacting their bottom line and crippling business

7. What evidence
do financial
crime-fighters
look for?

8. Real-time
Two key requirements for detecting fraud
Contextual

9. Confluent Cloud fraud demo scenario
Website Logs (HTTP)
Login Attempts
IP & Geo-data
Watch lists
Payments & Transfers
Enrich
Route
Filter
Join
Detect
Govern
Super-TRAP
Score
Login & BOT Scores
Payment &
Transfer Scores

10. Account TRAP* scores
Topic 1
Topic 2
Topic 3
Topic 4
Topic 5
Topic 6
Calculate TRAP A
Calculate TRAP B
Calculate TRAP C
Calculate TRAP D
TRAP SCORE
TRAP SCORE
Source
Continuously
stream data to
Confluent
ADD TO WATCH
LISTS
DOWNSTREAM
ALERTING
INVESTIGATIONS
DASHBOARDS
Track
Event driven
immutable data
Process
Enrich & cleanse,
continuously calculate
risk scores
Assess
Examine temporal
Scores
Share
Outputs and alerts
HTTP LOGS
AUTH LOGS
TRANSACTIONS
WATCH LISTS
*TRAP = Temporal Risk Analysis Probability - (Risk Indicators)

11. Indicative SQL
90

12. Indicative SQL
91

13. High Level Diagram

14. Fraud
Management
eBook

15. Thank You

16. Stream Designer flow for Transfers & Payments
95

17. Stream Designer flow for Transfers & Payments
96

18. Transfers & payments lineage
97

19. Account TRAP scores

20. Account TRAP Alerts

21. Afternoon Reception &
Partner Expo

23. Getting started with Confluent Cloud is easy!
Have your teams access a
free Confluent Cloud
account!
*Free credits worth $400 during the first 30
days for all new sign ups.
All the resources you need to
set your Data in Motion,
in one place.
Revisit today's materials and gain access to
on-demand webinars and toolkits.

24. Thank You

25. Lucky Draw
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