Presentation is loading. Please wait.

Presentation is loading. Please wait.

Real-time Intelligence that Matters 1. © 2015, Brighterion Inc. (all rights reserved) Keeping an eye on your business 53% of consumers who experienced.

Published byBrent Garrison Modified over 8 years ago

Similar presentations

Presentation on theme: "Real-time Intelligence that Matters 1. © 2015, Brighterion Inc. (all rights reserved) Keeping an eye on your business 53% of consumers who experienced."— Presentation transcript:

1 Real-time Intelligence that Matters 1

2

3 © 2015, Brighterion Inc. (all rights reserved) Keeping an eye on your business 53% of consumers who experienced an account or identity compromise changed their banking relationship Source: Aite Group survey of Identity Theft Resource Center clients, March 2013 to January 2014

4 © 2015, Brighterion Inc. (all rights reserved) Keeping an eye on your business Beware back of wallet Source: Aite Group, ACI Worldwide survey of consumers in 20 countries, Q1 2014

5 557 Data breaches reported to the California Attorney General since January 2012 27 new data breaches reported to the California Attorney General in April 2015 90% of data breaches effect small merchants $7.99 is the average cost to issuers for each compromised card Data Breaches: Facts and Lessons

6 © 2015, Brighterion Inc. (all rights reserved) Keeping an eye on your business Case Study – 2014 Large Retailer 6 April 1 Commenced Sept 2 Announced Sept 12 Closed

7 © 2015, Brighterion Inc. (all rights reserved) Keeping an eye on your business Case Study – 2014 Retailer Data Breach 7 April 1Sept 2Sept 12 Commenced Announced Closed 154 Days Open 56 Million Cards Compromised $447 Million Estimated Issuer Losses $33 Million Q4 Retailer Losses

8 © 2015, Brighterion Inc. (all rights reserved) Keeping an eye on your business Stages of a Merchant Data Breach 8

9 © 2015, Brighterion Inc. (all rights reserved) Keeping an eye on your business 9 iDetect Components Real-Time Merchant Profiling Engine Real-Time Card Risk Scoring Engine

10 © 2015, Brighterion Inc. (all rights reserved) Keeping an eye on your business Real-Time Card Risk Scoring Engine: Model Building and Training Unsupervised Learning Real-time Profiling Long-term Profiling Peer Profiling Geo Profiling Cross-card Profiling Issuer/Processor Data Merchant information Global transaction history Global fraud database Card transaction history Computer Agent Time Profile Computer Agent Card Profile Computer Agent Merchant Profile Computer Agent Geographic Profile

11 © 2015, Brighterion Inc. (all rights reserved) Keeping an eye on your business Real-Time Card Risk Scoring Engine: Model Building and Training Issuer/Processor Data Merchant information Global transaction history Global fraud database Card transaction history Computer Agent Time Profile Computer Agent Card Profile Computer Agent Merchant Profile Computer Agent Geographic Profile Neural Networks Data Mining Case based Reasoning Genetic Algorithms Fuzzy Logic

12 © 2015, Brighterion Inc. (all rights reserved) Keeping an eye on your business Real-Time Card Risk Scoring Engine: Model Building and Training Computer Agent Time Profile Computer Agent Card Profile Computer Agent Merchant Profile Computer Agent Geographic Profile Neural Networks Data Mining Case based Reasoning Genetic Algorithms Fuzzy Logic Real-Time Card Risk Scoring Engine

13 © 2015, Brighterion Inc. (all rights reserved) Keeping an eye on your business How iDetect Works 13 Real-Time Merchant Profiling Engine Real-Time Card Risk Scoring Engine

14 © 2015, Brighterion Inc. (all rights reserved) Keeping an eye on your business How iDetect Works 14 Computer Agent Time Profile Computer Agent Card Profile Computer Agent Merchant Profile Computer Agent Geographic Profile Neural Networks Data Mining Case based Reasoning Genetic Algorithms Fuzzy Logic Computer Agent Time Profile Computer Agent Card Profile Computer Agent Merchant Profile Computer Agent Geographic Profile Real-Time Card Risk Scoring Engine

15 © 2015, Brighterion Inc. (all rights reserved) Keeping an eye on your business How iDetect Works 15 Real-Time Merchant Profiling Engine Real-Time Card Risk Scoring Engine

16 © 2015, Brighterion Inc. (all rights reserved) Keeping an eye on your business How iDetect Works 16 Real-Time Merchant Profiling Engine Real-Time Card Risk Scoring Engine

17 © 2015, Brighterion Inc. (all rights reserved) Keeping an eye on your business How iDetect Works 17 Real-Time Merchant Profiling Engine Real-Time Card Risk Scoring Engine

18 © 2015, Brighterion Inc. (all rights reserved) Keeping an eye on your business How iDetect Works 18 Real-Time Merchant Profiling Engine Real-Time Card Risk Scoring Engine

19 © 2015, Brighterion Inc. (all rights reserved) Keeping an eye on your business iDetect Simulation Study 19 Commenced Avg. 150 Days Open Closed

20 © 2015, Brighterion Inc. (all rights reserved) Keeping an eye on your business iDetect Simulation Study 20 Commenced Closed Avg. 5 Days Open

21 © 2015, Brighterion Inc. (all rights reserved) Keeping an eye on your business iDetect Simulation Study 21 Commenced Closed Avg. 5 Days Open

22 © 2015, Brighterion Inc. (all rights reserved) Keeping an eye on your business iDetect Simulation Study 22 97% Reduction in Cards Compromised 53.2 Million cards SAVED 97% Reduction in Estimated Issuer Losses $438 Million issuer dollars SAVED 97% Reduction in Mechant Losses $29.4 Million Q4 Home Depot dollars SAVED Commenced Closed Avg. 5 Days Open

23 © 2015, Brighterion Inc. (all rights reserved) Keeping an eye on your business iDetect Simulation Study 23 97% Reduction in Cards Compromised 54 Million cards SAVED 97% Reduction in Estimated Issuer Losses $434 Million issuer dollars SAVED Commenced Closed Avg. 5 Days Open

24 Provides real-time results based on proven AI models Uses Brighterion’s patented Smart Agent technology to identify anomalous card-holder behavior and traces those results back to a Common Point of Purchase Detects data breaches within 5 days of the first transactions being executed by the criminals Discovers data breaches over 6 times faster than the closest competitive solution Saves Issuers, Merchants and Insurers over 90% of their total losses from data breaches Prevents brand damage that results from data breach media attention Generates increased revenues for Acquirers who resell iDetect to their Merchants Benefits

Download ppt "Real-time Intelligence that Matters 1. © 2015, Brighterion Inc. (all rights reserved) Keeping an eye on your business 53% of consumers who experienced."

Similar presentations

Managing Knowledge in the Digital Firm (II) Soetam Rizky.

Managing Knowledge in the Digital Firm (II) Soetam Rizky.
© 2014 Fair Isaac Corporation. Confidential. This presentation is provided for the recipient only and cannot be reproduced or shared without Fair Isaac.

© 2014 Fair Isaac Corporation. Confidential. This presentation is provided for the recipient only and cannot be reproduced or shared without Fair Isaac.
This refresher course will:

This refresher course will:
Purchasing Card Best Practices: Program Expansion & Controls Julie Krause, Vice President Commercial Cards Sales Manager M&T Bank May 12, 2010.

Purchasing Card Best Practices: Program Expansion & Controls Julie Krause, Vice President Commercial Cards Sales Manager M&T Bank May 12, 2010.
The Third International Forum on Financial Consumer Protection & Education “Fostering Greater Consumer Protection & Education” Preventing Identity Theft.

The Third International Forum on Financial Consumer Protection & Education “Fostering Greater Consumer Protection & Education” Preventing Identity Theft.
Credit Card Fraud. Credit card fraud - situation when an individual uses another individual’s credit card for personal reasons while the owner is not.

Credit Card Fraud. Credit card fraud - situation when an individual uses another individual’s credit card for personal reasons while the owner is not.
Welcome to Dublin! Airline Distribution 2006.  Great Keynote Speakers  Impressive Executive Panel  New Airline Distribution Strategies  Data Privacy.

Welcome to Dublin! Airline Distribution  Great Keynote Speakers  Impressive Executive Panel  New Airline Distribution Strategies  Data Privacy.
Understanding Networked Applications: A First Course Chapter 14 by David G. Messerschmitt.

Understanding Networked Applications: A First Course Chapter 14 by David G. Messerschmitt.
4 Intelligent Systems.

4 Intelligent Systems.
Www.smartvision-me.com IBM SPSS Solutions A SELECT INTERNATIONAL COMPANY.

IBM SPSS Solutions A SELECT INTERNATIONAL COMPANY.
Bank Card Protector Policy Frates Insurance & Risk Management By Thomas P Mulligan 405-290-5609

Bank Card Protector Policy Frates Insurance & Risk Management By Thomas P Mulligan
CHAPTER 4 ANALYTICS, DECISION SUPPORT, AND ARTIFICIAL INTELLIGENCE

CHAPTER 4 ANALYTICS, DECISION SUPPORT, AND ARTIFICIAL INTELLIGENCE
Artificial Intelligence By: Groups 19 & 20. What is A.I. A.I. is a broad discipline that promises to simulate numerous human skills such as automatic.

Artificial Intelligence By: Groups 19 & 20. What is A.I. A.I. is a broad discipline that promises to simulate numerous human skills such as automatic.
1 Information Requirements by Management Level Strategic Management Tactical Management Operational Management Decisions Information.

1 Information Requirements by Management Level Strategic Management Tactical Management Operational Management Decisions Information.
Global Information Security Issues According to the E&Y Global Survey, Managers Say the Right Thing… –90% of 1400 companies surveyed in 66 countries say.

Global Information Security Issues According to the E&Y Global Survey, Managers Say the Right Thing… –90% of 1400 companies surveyed in 66 countries say.
Interchange fees and the quality of service obtained by consumers and merchants Marianne Verdier, EconomiX University Paris Ouest Nanterre 1.

Interchange fees and the quality of service obtained by consumers and merchants Marianne Verdier, EconomiX University Paris Ouest Nanterre 1.
Supporting Decision Making Chapter 10 McGraw-Hill/IrwinCopyright © 2011 by The McGraw-Hill Companies, Inc. All rights reserved.

Supporting Decision Making Chapter 10 McGraw-Hill/IrwinCopyright © 2011 by The McGraw-Hill Companies, Inc. All rights reserved.
©2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part.

©2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part.
U.S. Bank Payment Analytics Overview. Payment Fraud Trends 2 Reference: Association of Financial Professionals (AFP), 2011 Payments Fraud and Control.

U.S. Bank Payment Analytics Overview. Payment Fraud Trends 2 Reference: Association of Financial Professionals (AFP), 2011 Payments Fraud and Control.
3-1 Chapter Three. 3-2 Secondary Data vs. Primary Data Secondary Data: Data that have been gathered previously. Primary Data: New data gathered to help.

3-1 Chapter Three. 3-2 Secondary Data vs. Primary Data Secondary Data: Data that have been gathered previously. Primary Data: New data gathered to help.

Similar presentations

Ads by Google