FICO Falcon Fraud Manager for Retail Banking

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1 FICO Falcon Fraud Manager for Retail Banking What can you do to protect the current account against fraud attacks? Martin Warwick Principal Consultant Fraud Solutions FICO May Fair Isaac Corporation.

2 Prevalence of Attempted Fraud in 2008 (Percent of Organizations Subject to Attempted or Actual Payments Fraud) Online Banking Fraud Losses Figures in Grey Show Percentage Change on Previous Year s Total Payment Methods All Respondents Revenues Over $1 Billion Revenues Under $1 Billion Checks 91% 94% 88% ACH debits 28% 28% 28% Consumer credit/ debit cards Corporate/commercial purchasing cards 18% 15% 19% 14% 14% 14% ACH credits 7% 6% 6% Wire transfers 6% 4% 5% Deposit Channel Withdrawal Channel 6% 6% 8% OTC 5% 15% OTC ATM on-us ATM on-us ATM off-us 9% 50% ATM off-us Other Other 14% ACH Wire 80% 7% * Sources: AFP Payments 2009, JPMC; Fraud the Facts 2009, APACS; ABA Deposit Account Fraud Survey Fair Isaac Corporation.

3 Forward Looking Statements Product roadmaps and similar marketing materials should be considered forward looking and subject to future change at FICO s discretion. Future functionality, features or enhancements as shown are FICO s current projections of the product direction, but are not specific commitments or obligations Fair Isaac Corporation.

4 Basis Points Falcon History: The Power of Predictive Analytics Falcon Introduced 1990s Case management system developed Fraud Consortium launch General international model Check fraud models Merchant profiling for issuers 2000s Outlier models First Party Abuse 1.8 billion Accounts protected Return Deposit Items Today Hardcoded thresholds, Paper reports Real-time profiling technique Reason reporter Rules engine 20 Acquirer models Segmented models Referral optimization Dual profiling for debit cards EMV models Transfer fraud & payee profiling Device Adaptive profilingmodels Multichannel fraud Fair Isaac Corporation Falcon Introduced Credit Card Fraud Year

5 Deposit Fraud Prevention and Detection Fair Isaac Corporation.

6 FICO Falcon Fraud Manager Open Fraud Platform Management Module Source Systems Scoring Module Channel Models, Rules, Profiles Online Banking & Telephony Access Modules Control APIs, rules, queues, hotlists Debit Card Transactions Third-Party Case Credit Card Transactions Branch Customer Model, Merchant Model, Rules, Profiles Case Module Research and Investigation Module Checks On us & Deposits Payment Transfers Consortium Outlier Bank Intervention Case Database Intervention Case Database Fraud Research Analysis & Investigations Bill Pay Acquirer Application Originations Third-Party Bank Data Warehouse Mobile Payments 3 rd Party Data Fair Isaac Corporation.

7 How Do You Measure Deposit Account Fraud Types? Victim Account Level Fraud Type» Account Take-Over» Internal/Staff Fraud» New Account Perpetrator» New Account» First Party Fraud Scheme Type» Deposit Fraud» Overdraft Fraud» Phishing/pharming» Skimming» Internal Fraud» Kiting» Mule-ing» Account-to-Account/ Transfer fraud» New account fraud» Cross channel fraud» Identity Theft» Check» ATM Channel» Debit Card POS» Online Banking» Telephony» Bill Pay» Wire» Network: ACH, EFT, BACS/CHAPS/FPS, etc.» Mobile» Branch/OTC Fair Isaac Corporation.

8 Account Behaviour Is Key to Perspective Deps w/d Acct Deposits via branch and remote channel w/d Deps Acct To detect fraud on an account, you need to understand how the account holder banks Deps Payments via online, check, electronic Account changes Payment cycles and payees Habitual banking hours Volume and distribution of funds across channels w/d Acct Fair Isaac Corporation.

9 Risk is Relative Mr. Smith Normal Usage» Debit and branch banking» Electronics» DIY stores» No online transactions High Risk» Online transactions» Change in contact information» New payee setup Mrs. Jones» Frequent online payments» Travel and entertainment» Large payment transactions» Payments follow cyclical billing patterns» Out of billing cycle access» New payee(s)» Small transaction Fair Isaac Corporation.

10 FICO Falcon Fraud Manager Brings Account- Perspective Detection & Investigation Source Systems Account Profile & Score Debit Card Transactions Checks On us & Deposits ACH/EFT/BACS/ CHAPS/FPS, Bill Pay Wire Transfers Customer» Profile» Fraud Score» Treatment Decision Online Banking & Telephony Access Application Originations Customer Master File, CSR Payments Low score = unlikely fraudster Monetary & non-monetary events update a customer s profile & scores Fair Isaac Corporation.

11 Usage Usage FICO Falcon Fraud Manager Patented Profiling Is the Key to Multi-dimensional Fraud Detection Summarized Data ACH/EFT Payment Transaction Data Check Payment Month-End Time Two very different behaviors look the same with summarized data Fair Isaac Corporation.

12 Profile Variables Quantify Relationships Between Entities» On-Us Account Profiles» Account Behavior» Transaction volumes» Dollar volumes» Transaction time and frequency» Favorite payees (behavior sorted lists)» Etc.» Off-Us Account Profiles» Payee-to-payer relationships» Off-us account behavior» Other Profiles» Device IDs, locations, etc Fair Isaac Corporation.

13 Transactions Above Threshold Score (%) Transactions Above Threshold Score (%) Self-Calibrating Analytics Adapts Falcon Consortium Self-Calibrating Model At Score=910:15% relative difference in case load At Score=910: 0.4% relative difference in case load Threshold Score Threshold Score» Model Training Period: » Out-of-Period Data: (5 months out-of-period from training data)» Self-Calibrating Model is more stable over time than standard Falcon Consortium Fair Isaac Corporation.

14 FICO Falcon Fraud Manager 6 Retail Banking Analytic Components Case Dispositions Intelligent Global Profiles Profiles Adaptive Model Calibration Profiles Supervised Model Data Model Multiple Model Profiles Outlier Model Business Rules Case Dispositions Rules Consortium Data Fair Isaac Corporation. Patent Pending

15 Adaptive Outlier Detection» Outlier detection» What is abnormal?» How do you define it adaptively? Anomaly Ratio Outgoing to Incoming Dollars within 10 minutes Normal Anomaly Time Fair Isaac Corporation.

16 % Population Self-Calibrating Outlier Model Low Risk High Risk Rate of High-Dollar Transfers To New Payee Accounts» In many applications, insufficient data exists to build a trained model, and outlier techniques need to be employed to provide fraud protection» Often one may NOT even have sufficient data to calculate outlier values» Self-calibrating outlier models rely on defining fraud variables based on prior or expert knowledge, and learning outlier values in real-time while running in production Fair Isaac Corporation. Patent Pending

17 Fraud Score Based on Outlier Detection» Transactional attributes» Evaluates outlying nature» Self-calibrates with time and behavioral shifts P R O F I L E Output Score:1-999 (high score = high fraud risk) Fair Isaac Corporation.

18 Account Score vs. Customer Score» Account score automates appropriate account action:» Contact customer & remedy account» Investigate & shut down accounts» Release/block funds» Customer score drives strategic customer decisions:» Proactive credit risk treatment» Product up-sell» Removal of customer from portfolio Securities Loans Deposit Account Credit Card Fair Isaac Corporation.

19 Connect FICO Falcon Account Fraud Scores Into FICO TRIAD Account Decisions» Fraud Risk Influences Decisions on» Credit Risk» Customer Experience» Appropriate Fees P R O F I L E Fair Isaac Corporation.

20 Individual Profiles Produce Individual Fraud Scores Customer» Growing deposit A base» Recent 10 years savings tenure trend» No Average significant mo. bal. payment $10K velocity & balance changes Online, Debit card, Check FICO Payments Falcon decreasing, Fraud Manager account Output transfers increasing» Account Starts Bill score: Pay 450 (med-low)» Customer Branch deposit score: check 280 (low) for $35K FICO TRIAD Decision: Verify ID, release funds Fair Isaac Corporation.

21 Differentiate Victim Fraud from Perpetrator Fraud Customer» Deviation Bfrom banking trends & patterns 35 years tenure» Steady increase inflows during Avg. week mo. bal. $25K» Check, Increase Branch in payment velocity Starts within day Bill Pay FICO Change Falcon in Output velocity of deposits & payments» Account score: 850 (high) ATM deposit for $5K» Customer score: 240 (low)» Reason codes: Acct take-over FICO TRIAD Decision: Contact customer, confirm acct behavior, hold funds except for branch Fair Isaac Corporation.

22 FICO Falcon Fraud Manager 6.0 for Deposit Accounts FICO Falcon Fraud Manager 6.0» Account & customer level profiling & score» 2 models» Perpetrator 1st party (new or tenured account with the intent to defraud the bank)» Victim 3rd party account take-over» Account cases» Multiple channel views» Accepts 3rd party alerts» FICO Blaze Advisor business rules management system» FICO or non-fico case manager Fair Isaac Corporation.

23 FICO Falcon Fraud Manager Faces the Future» Account focus gives perspective:» Across channel activity» On-us and off-us activity» Account detection gives perspective:» Payment & deposit hold decisions» Indication of good and bad customers» Customer profiling extends to customer decisions Fair Isaac Corporation.

24 Account Monitoring Extends Beyond Authentication 1 Scenario 1: Authentication controls only No monitoring of activity of payer or payee account that indicates high risk transaction Rise of social engineering, malware and internal fraud (the man in the middle) Fair Isaac Corporation.

25 Scenario Scenario 1: Without Falcon 6 1 Customer s user submits an online transfer of $1,000 to payee s account Accounts Investments Payments Transfer Pay to: John Smith Amount: $1, Make Payment ONLINE BANKING Fair Isaac Corporation.

26 Scenario Scenario 1: Without Falcon 6 1 A payment request is initiated and sent to Bank Customer Payer Account Bank No account level fraud check is performed Fair Isaac Corporation.

27 Scenario Scenario 1: Without Falcon 6 1 Moments later, $1,000 credited to payee s account Customer Payer Account Payee Bank/ Account Payee BAC Fair Isaac Corporation.

28 Scenario Scenario 1: Without Falcon 6 1 Moments after that, Customer the payee s account is debited and the funds sent to Barbados Payer Account Payee Bank/ Account Payee BAC Fair Isaac Corporation.

29 Account Monitoring Extends Beyond Authentication 1 Scenario 1: Authentication controls only No monitoring of activity for payee account that indicates high risk transaction Rise of social engineering, malware and internal fraud (the man in the middle) 2 Scenario 2: Account behavior monitoring and detection Analysis of activity for payer and payee account indicates a high risk transaction Fair Isaac Corporation.

30 Scenario Scenario 2: With Falcon 6 2 Customer s user submits an online transfer of $1,000 to payee s account Accounts Investments Payments Transfer Pay to: John Smith Amount: $1, Make Payment ONLINE BANKING Fair Isaac Corporation.

31 Scenario Scenario 2: With Falcon 6 2 A payment request is initiated and sent to Falcon for risk analysis Customer Payer Account/ Bank Falcon Fair Isaac Corporation.

32 Scenario Scenario 2: With Falcon 6 2 Falcon 6 Components Falcon 6 On-us Profiles Off-us Profiles Advanced Fraud Models Business Rules Fair Isaac Corporation.

33 Scenario Scenario 2: With Falcon 6 2 Falcon 6 Components Falcon 6 On-Us Profiles Off-Us Profiles Advanced Fraud Models Business Rules On-Us and Off-Us Profiles contain mathematical representations of each account s transaction history to compute feature detectors allowing for determination of patterns that are indicative of fraud Fair Isaac Corporation.

34 Scenario Scenario 2: With Falcon 6 2 Falcon 6 Components Falcon 6 On-Us Profiles Off-Us Profiles Advanced Fraud Models Business Rules Advanced Fraud Models produce a fraud score based on how abnormal this transaction is compared to the norm combined with how abnormal the behavior is from the historical behavior of these customers (payer and payee) High score indicates high likelihood of fraud Fair Isaac Corporation.

35 Scenario Scenario 2: With Falcon 6 2 Falcon 6 Components How a score is determined Payer historical behavior $ Payee historical behavior Payments behavior Transaction amount Payee account Mathematical Summaries Score Payer account Fair Isaac Corporation.

36 Scenario Scenario 2: With Falcon 6 2 Falcon 6 Components Falcon 6 On-Us Profiles Off-Us Profiles Advanced Fraud Models Business Rules Bank can deploy business rules to create cases, take automated actions, manipulate scores and other actions. High Score Rule Score <890 Score >890 Amount >$1,000 AND 3 rd payment? No Yes Reject payment request and create case Approve payment request Approve payment request and create case Fair Isaac Corporation.

37 Scenario Scenario 2: With Falcon 6 2 Falcon 6 Components High Score Rule Score <890 Amount >$1,000 AND 3 rd payment? No Yes Approve payment request Approve payment request and create case Score >890 Reject payment request and create case Reject payment requests on very high risk transactions Create ability to investigate transactions under certain scenarios Fair Isaac Corporation.

38 Scenario Scenario 2: With Falcon 6 2 A fraction of a second later, Falcon 6 score is returned to Bank Falcon 6? Fair Isaac Corporation.

39 Scenario Scenario 2: With Falcon 6 2 Bank decisions applied to the transaction based Falcon returns the score indicating the fraud on the score risk and for DECLINES the transaction this transaction Customer Payer Account/ Bank Falcon Transfer Fair Isaac Corporation.

40 Scenario Scenario 2: With Falcon 6 2 Mass Attack Scenario Payer Payer Account Payer Account Payer Account 1 Payer Account 2 Payer Account 3 Payer Account 4 Payer Account 5 Payer Account 6 Payer Account 7 Payer Account 8 Account Payee Identify suspicious activity across the account base by extracting common payee indicators Fair Isaac Corporation.

41 Scenario Scenario 2: With Falcon 6 2 Falcon 6 presents its findings High risk Bank declines to send the payment. A case is created and routed to an Analyst. Falcon 6 Payer Account Fair Isaac Corporation.

42 THANK YOU Martin Warwick Principal Consultant Fraud Solutions FICO May Fair Isaac Corporation.

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