ThreatMetrix ARRC 2016 presentation by Ted EganKen Lam
ThreatMetrix® is the market-leading cloud solution for authenticating digital personas and transactions on the Internet.
ThreatMetrix analyzes more than 15 billion transactions annually, from 30,000 websites across 4,000 companies globally through the Digital Identity Network. ThreatMetrix secures businesses and end users against account takeover, payment fraud and fraudulent account registrations resulting from malware and data breaches. Key benefits include an improved customer experience, reduced friction, revenue gain, and lower fraud and operational costs.
Yahoo! is the largest contributor, tester, and user of Hadoop. They operate 4000 node Hadoop clusters and release the Yahoo! Distribution of Hadoop as open source. Yahoo! contributes all their Hadoop development work back to the Apache Foundation and uses Hadoop for large-scale data processing and analytics across petabytes of data.
This document discusses ThreatMetrix's fraud network solution which uses device profiling and behavioral analytics to detect fraudulent transactions, new accounts, and logins across various industries. It highlights challenges with legacy solutions such as insecure credit card data, inconvenient authentication methods, and siloed fraud intelligence. ThreatMetrix's fraud network aims to offer a collective solution through real-time fraud detection, global device identification, and shared intelligence across organizations to help prevent fraud and reduce costs.
1. Visa operates the world's largest payment network, VisaNet, which processes over 130 million authorizations per day across 28 million merchant locations.
2. Hadoop offers the potential to analyze Visa's large volumes of transaction data faster than currently possible. Visa is researching how to configure Hadoop solutions and integrate them securely within its existing financial systems.
3. Key questions include how to securely load data into Hadoop clusters, integrate security features like hardware security modules, and ensure solutions meet Visa's requirements of being fast, secure, flexible, reliable and scalable for enterprise use.
ThreatMetrix ARRC 2016 presentation by Ted EganKen Lam
ThreatMetrix® is the market-leading cloud solution for authenticating digital personas and transactions on the Internet.
ThreatMetrix analyzes more than 15 billion transactions annually, from 30,000 websites across 4,000 companies globally through the Digital Identity Network. ThreatMetrix secures businesses and end users against account takeover, payment fraud and fraudulent account registrations resulting from malware and data breaches. Key benefits include an improved customer experience, reduced friction, revenue gain, and lower fraud and operational costs.
Yahoo! is the largest contributor, tester, and user of Hadoop. They operate 4000 node Hadoop clusters and release the Yahoo! Distribution of Hadoop as open source. Yahoo! contributes all their Hadoop development work back to the Apache Foundation and uses Hadoop for large-scale data processing and analytics across petabytes of data.
This document discusses ThreatMetrix's fraud network solution which uses device profiling and behavioral analytics to detect fraudulent transactions, new accounts, and logins across various industries. It highlights challenges with legacy solutions such as insecure credit card data, inconvenient authentication methods, and siloed fraud intelligence. ThreatMetrix's fraud network aims to offer a collective solution through real-time fraud detection, global device identification, and shared intelligence across organizations to help prevent fraud and reduce costs.
1. Visa operates the world's largest payment network, VisaNet, which processes over 130 million authorizations per day across 28 million merchant locations.
2. Hadoop offers the potential to analyze Visa's large volumes of transaction data faster than currently possible. Visa is researching how to configure Hadoop solutions and integrate them securely within its existing financial systems.
3. Key questions include how to securely load data into Hadoop clusters, integrate security features like hardware security modules, and ensure solutions meet Visa's requirements of being fast, secure, flexible, reliable and scalable for enterprise use.
Digital Identities within the ThreatMetrix Digital Identity Network show a pattern of trusted behavior by incorporating anonymized non-regulated personal information such as user name, password and email address with device identifiers, connection and location characteristics. At the same time ThreatMetrix profiles all devices accessing a website (desktops, laptops, smartphones, or tablets), to identify the presence of malware or other anomalies that might indicate a high-risk transaction. High risk anomalies can be easily identified and flagged for review or automatic rejection. Businesses can confidently detect transactions, including:
Payments From Legitimate Users – Confidently approve transactions from legitimate, trusted users; streamlining their online experience and reducing unnecessary friction.
Transactions From Cybercriminals – Reject transactions from known fraudsters, or bots carrying out credit card testing. Detect multiple identities using a single device, mismatches between identity and location, devices disguising their true locations, and other indicators of identity theft.
MITM or MITB Malware – Avoid accepting transactions from devices compromised by malware. Use page fingerprinting to detect compromised sessions that may be redirecting or altering transaction information in flight.
ThreatMetrix provides risk-based authentication and fraud detection solutions to help businesses authenticate users and reduce fraud. The document discusses ThreatMetrix's offerings including digital identity intelligence, a dynamic decision platform, and smart authentication. It also outlines how ThreatMetrix can help enable frictionless 3-D Secure authentication through risk-based profiling and selective challenge of only high risk users, resulting in increased authorization rates and reduced fraud and abandonment. The document shares examples of how ThreatMetrix has helped payment partners like Visa improve the cardholder experience and transaction conversion through its risk-based authentication capabilities.
Digital Identities within the ThreatMetrix Digital Identity Network show a pattern of trusted behavior by incorporating anonymized non-regulated personal information such as user name, password and email address with device identifiers, connection and location characteristics. At the same time ThreatMetrix profiles all devices accessing a website (desktops, laptops, smartphones, or tablets), to identify the presence of malware or other anomalies that might indicate a high-risk transaction. High risk anomalies can be easily identified and flagged for review or automatic rejection. Businesses can confidently detect transactions, including:
Payments From Legitimate Users – Confidently approve transactions from legitimate, trusted users; streamlining their online experience and reducing unnecessary friction.
Transactions From Cybercriminals – Reject transactions from known fraudsters, or bots carrying out credit card testing. Detect multiple identities using a single device, mismatches between identity and location, devices disguising their true locations, and other indicators of identity theft.
MITM or MITB Malware – Avoid accepting transactions from devices compromised by malware. Use page fingerprinting to detect compromised sessions that may be redirecting or altering transaction information in flight.
ThreatMetrix provides risk-based authentication and fraud detection solutions to help businesses authenticate users and reduce fraud. The document discusses ThreatMetrix's offerings including digital identity intelligence, a dynamic decision platform, and smart authentication. It also outlines how ThreatMetrix can help enable frictionless 3-D Secure authentication through risk-based profiling and selective challenge of only high risk users, resulting in increased authorization rates and reduced fraud and abandonment. The document shares examples of how ThreatMetrix has helped payment partners like Visa improve the cardholder experience and transaction conversion through its risk-based authentication capabilities.