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News Article | July 7, 2017
Site: www.businesswire.com

SAN DIEGO & CONWAY, Ark.--(BUSINESS WIRE)--ID Analytics LLC, a leader in consumer risk management, and Acxiom® (Nasdaq: ACXM), the data foundation for the world’s best marketers, today announced a partnership to help businesses improve risk assessment and fight fraud. Under the terms of the agreement, Acxiom will expand its risk mitigation portfolio and promote ID Analytics solutions to their customers. The insight from ID Analytics’ ID Network® will help Acxiom customers to better identify fraud risk and verify identities. ID Analytics uses data from the ID Network, a unique cross-industry repository of near real-time consumer information, which provides a comprehensive perspective on identity. Over the last 15 years, contributions from ID Analytics’ cross-industry client base have built the ID Network into a powerful repository of consumer information for fraud detection. This powerful repository includes visibility into a range of consumer identity data provided for account openings, wireless applications, new check orders, changes of address and Internet purchases. “This partnership extends the value for ID Analytics’ and Acxiom’s customers,” said Eric Lindeen, vice president, marketing, ID Analytics. “This is just the first step in our partnership. We see an opportunity to work even closer with Acxiom in the future to help improve the predictive nature of our products and provide even more comprehensive insight into fraud and identity risk mitigation.” “Our agreement with ID Analytics enables Acxiom to extend ID Analytics solutions that leverage identity data from wireless, credit card and other types of accounts previously not available to our customers,” said Matt Botti, director of risk products at Acxiom. “This additional data will help us to provide our customers with a more informed and comprehensive look at the identity of consumers being engaged.” ID Analytics is a leader in consumer risk management with patented analytics, proven expertise, and real-time insight into consumer behavior. By combining proprietary data from the ID Network®—one of the nation’s largest networks of cross-industry consumer behavioral data—with advanced science, ID Analytics provides in-depth visibility into identity risk and creditworthiness. Every day, many of the largest U.S. companies and critical government agencies rely on ID Analytics to make risk-based decisions that enhance revenue, reduce fraud, drive cost savings, and protect consumers. ID Analytics is a Symantec company. Please visit us at www.idanalytics.com. Acxiom provides the data foundation for the world’s best marketers. We enable people-based marketing everywhere through a simple, open approach to connecting systems and data that drives seamless customer experiences and higher ROI. A leader in identity and ethical data use for more than 48 years, Acxiom helps thousands of clients and partners around the globe work together to create a world where all marketing is relevant. Acxiom is a registered trademark of Acxiom Corporation. For more information about Acxiom, visit Acxiom.com. ID Analytics and ID Network are registered trademarks of ID Analytics LLC all other trademarks and registered trademarks are the property of their respective holders.


News Article | July 26, 2017
Site: www.businesswire.com

SAN DIEGO--(BUSINESS WIRE)--In a new whitepaper released today, ID Analytics LLC, a leader in consumer risk management, explores the rise in synthetic identity fraud including the new ways that fraudsters are creating synthetic identities. Since the randomization of social security numbers (SSNs) in 2011, ID Analytics has seen the number of new SSNs appearing on applications within its ID Network® more than double. This is likely caused by an increase in manufactured synthetic identities. A synthetic identity is a combination of fabricated credentials including SSNs that are combined to create an identity that is not associated with a real person. While the problem of synthetic identity fraud isn’t new, the spike in synthetic identities over the past several years is due in part to the Social Security Administration (SSA) deciding to randomize SSN issuance in 2011. Designed to protect the public, the randomization of SSNs also made it more difficult for fraud detection systems to identify fraudulent SSNs. When SSNs were assigned following the same format, institutions could more easily determine if a number was valid. If an SSN in the unissued range was provided by a consumer, it was a strong indicator that the application was a potential risk and should be flagged for additional review. In the new era of synthetic identities, the randomization of SSNs has made it very difficult for institutions to distinguish between legitimate numbers and fraudulent identities. In the past, fraudsters used to create false identities composed of valid information stolen from several different consumers. Today’s synthetic identity fraudsters are using false identities composed of invalid information with no ties to a consumer, making the fraud less likely to be reported and even more difficult to address. The demographics of manufactured synthetic identities appear to be very different from those of known third-party fraudsters. Demographics associated with suspected synthetic identities have characteristics similar to new-to-credit consumers. For example, third-party fraudsters are three times more likely to have a credit bureau record than suspected synthetic identities. The whitepaper examines the three types of synthetic identity fraud, their risks and how institutions can combat them. The most common types include: Institutions have been able to successfully address some of the threats of traditional and manipulated synthetics. Reviewing credit development timelines and usage of personal identifying information (PII) through scoring and fraud models can help detect some fraudulent applications, but the problem of manufactured synthetics is more challenging to address. “The problem of synthetic behavior continues to grow in sophistication, intensity and frequency, and as it does, it has a huge impact on the financial harm it can do and how easily it can be detected,” said Ken Meiser, vice president of Identity Solutions at ID Analytics. “ID Analytics works with some of the country’s leading wireless, credit card and marketplace lenders, helping them to address the issue of synthetic identities, and we are committed to helping them solve the problem of manufactured synthetics, not just manage the symptoms.” For over a decade, ID Analytics has led the charge in understanding and managing the threat of synthetic identities, and has produced an algorithm that can flag identities that appear to be synthetic. To identify a synthetic identity, the algorithm uses the more than one trillion data elements and 4.2 million confirmed frauds found in ID Analytics’ ID Network to compare PII, look for patterns, and recognize disparities in near real-time to reveal fake identities. The ID Analytics ID Network is one of the nation’s largest, continuously-updated networks of cross-industry consumer behavioral data. More information on synthetic identities can be found in the ID Analytics white paper, “The Synthetic Epidemic: Understanding Identity Fraud after SSN Randomization.” Additionally, ID Analytics has an educational webinar on the topic available to play on demand at http://hub.idanalytics.com/the-new-era-of-synthetic-identity-fraud-lp. ID Analytics is a leader in consumer risk management with patented analytics, proven expertise, and near real-time insight into consumer behavior. By combining proprietary data from the ID Network®—one of the nation’s largest networks of cross-industry consumer behavioral data—with advanced science, ID Analytics provides in-depth visibility into identity risk and creditworthiness. Every day, many of the largest U.S. companies and critical government agencies rely on ID Analytics to make risk-based decisions that enhance revenue, reduce fraud, drive cost savings, and protect consumers. ID Analytics is a Symantec company. Visit www.idanalytics.com to learn more. ID Analytics and ID Network are registered trademarks of ID Analytics LLC. All other trademarks and registered trademarks are the property of their respective holders.


AUSTIN, Texas--(BUSINESS WIRE)--Digital Banking 2017—Booth #210—A new study released today by ID Analytics LLC, a leader in consumer risk management, finds that using alternative credit scores for safe lending can dramatically increase the number of individuals that are considered eligible for credit. Through the use of alternative scores, lenders are able to see a more complete picture of an applicant’s credit worthiness. This enables more marginal, subprime or unscoreable individuals to take advantage of mainstream financial services. While a significant number of U.S. consumers rely on credit for financial stability, many have difficulty gaining access to credit due to no or poor traditional credit scores. Millennials, immigrants and individuals with lower incomes are groups that are most likely to be seen by lenders and bureaus as ‘unscoreable.’ Traditional credit scores take into account data from credit card, mortgage, student and auto loan records, but they do not consider modern responsibilities that offer additional predictive insights into other credit behavior such as payment data from wireless, cable and utility accounts; online marketplace, payday and subprime lending; alternative billing methods; checking accounts; and other credit-relevant alternative data sources. In the two-part study, ID Analytics examined credit applicants at key lenders across the auto, telecommunications, credit card and marketplace lending industries from 2012-2016 using the latest version of its credit score, Credit Optics Full Spectrum. Key findings of the study include: “The use of alternative data in credit scoring leads to improved credit decisioning and enables organizations to be more inclusive in their lending decisions without increasing their risk,” said Ajay Nigam, senior vice president, product and technology, ID Analytics. “This is a win-win for lenders and consumers especially young adults and other populations that have historically been marginalized by traditional scoring models.” More information on financial inclusion can be found in the ID Analytics white paper, “Alternative Credit Scores: The Key to Financial Inclusion for Consumers.” Credit Optics Full Spectrum gives organizations a more complete, predictive picture of consumer behavior and creditworthiness. It draws from a unique blend of traditional and alternative credit data in ID Analytics’ ID Network®, one of the nation’s largest networks of near real-time, cross-industry consumer behavioral data, helping organizations make more predictive lending decisions for consumers ranging from new-to-credit to credit-active while avoiding risk. As an FCRA-compliant credit score, Credit Optics Full Spectrum provides a highly predictive and complete assessment of an individual’s creditworthiness and enables businesses to be more inclusive in their lending strategy without increasing risk exposure. Credit Optics Full Spectrum is designed to function as both a stand-alone credit score and as a “plus one” score to enhance the power of existing credit scores. To learn more about Credit Optics Full Spectrum, please visit: http://www.creditoptics.com. ID Analytics is a leader in consumer risk management with patented analytics, proven expertise, and near real-time insight into consumer behavior. By combining proprietary data from the ID Network®—one of the nation’s largest networks of cross-industry consumer behavioral data—with advanced science, ID Analytics provides in-depth visibility into identity risk and creditworthiness. Every day, many of the largest U.S. companies and critical government agencies rely on ID Analytics to make risk-based decisions that enhance revenue, reduce fraud, drive cost savings, and protect consumers. ID Analytics is a Symantec company. Visit www.idanalytics.com to learn more. ID Analytics, Credit Optics and ID Network are registered trademarks of ID Analytics LLC. All other trademarks and registered trademarks are the property of their respective holders.


News Article | September 12, 2017
Site: www.businesswire.com

NEW YORK--(BUSINESS WIRE)--Today at Finovate Fall, ID Analytics LLC, a leader in consumer risk management, announces the launch of ID Connect™ 2.0, the latest version of the company’s digital enrollment product. ID Connect 2.0 significantly reduces data entry and friction in the new customer application process and helps companies boost conversion rates without increasing risk. Since implementing ID Connect 2.0, one ID Analytics enterprise customer has reduced its in-store account opening time by several minutes, and a leading online marketplace lender has improved its conversion rate by nearly 10 percent. According to Javelin’s 2017 report, “Digital Account Opening Still Has a Long Road to Reality,” only 8 percent of mobile device users applying for a credit card online successfully completed the entire application form. ID Connect 2.0 shortens the application process and reduces the time and effort needed to apply. Using information from the ID Analytics’ ID Network®, one of the nation’s largest networks of cross-industry consumer behavioral data, ID Connect 2.0 authenticates a consumer’s identity and returns the PII needed to complete applications without increasing risk to the organization. ID Connect 2.0 is available in two versions for in-store and online channels: The solution leverages the unique visibility of the ID Network, with over 1 trillion data elements and details on more than 4.2 million client-reported attempts at identity fraud. The ID Network provides a current and comprehensive perspective of event and consumer risk to both validate that the consumer is who they say they are and to return the full information needed to complete the application. “ID Connect 2.0 converts more prospects into customers, while managing risk, by accepting either minimal PII or an ID from the consumer and returning that customer’s full PII and validated identity,” said Aaron Kline, vice president of Innovation and New Ventures at ID Analytics. “The result is a great, safe customer experience.” Aaron Kline and Tim Manglona will conduct a live demo of ID Connect 2.0 at Finovate Fall on Tuesday, September 12, between 10:45 a.m. and 12:05 p.m. ET. For more information on ID Connect 2.0, please visit idanalytics.com/idconnect. ID Analytics is a leader in consumer risk management with patented analytics, proven expertise, and near real-time insight into consumer behavior. By combining proprietary data from the ID Network®—one of the nation’s largest networks of cross-industry consumer behavioral data—with advanced science, ID Analytics provides in-depth visibility into identity risk and creditworthiness. Every day, many of the largest U.S. companies and critical government agencies rely on ID Analytics to make risk-based decisions that enhance revenue, reduce fraud, drive cost savings, and protect consumers. ID Analytics is a Symantec company. Visit www.idanalytics.com to learn more. ID Analytics and ID Network are registered trademarks of ID Analytics LLC. All other trademarks and registered trademarks are the property of their respective holders.


Han S.,ID Analytics | Vasconcelos N.,University of California at San Diego
Frontiers in Computational Neuroscience | Year: 2014

The benefits of integrating attention and object recognition are investigated. While attention is frequently modeled as a pre-processor for recognition, we investigate the hypothesis that attention is an intrinsic component of recognition and vice-versa. This hypothesis is tested with a recognition model, the hierarchical discriminant saliency network (HDSN), whose layers are top-down saliency detectors, tuned for a visual class according to the principles of discriminant saliency. As a model of neural computation, the HDSN has two possible implementations. In a biologically plausible implementation, all layers comply with the standard neurophysiological model of visual cortex, with sub-layers of simple and complex units that implement a combination of filtering, divisive normalization, pooling, and non-linearities. In a convolutional neural network implementation, all layers are convolutional and implement a combination of filtering, rectification, and pooling. The rectification is performed with a parametric extension of the now popular rectified linear units (ReLUs), whose parameters can be tuned for the detection of target object classes. This enables a number of functional enhancements over neural network models that lack a connection to saliency, including optimal feature denoising mechanisms for recognition, modulation of saliency responses by the discriminant power of the underlying features, and the ability to detect both feature presence and absence. In either implementation, each layer has a precise statistical interpretation, and all parameters are tuned by statistical learning. Each saliency detection layer learns more discriminant saliency templates than its predecessors and higher layers have larger pooling fields. This enables the HDSN to simultaneously achieve high selectivity to target object classes and invariance. The performance of the network in saliency and object recognition tasks is compared to those of models from the biological and computer vision literatures. This demonstrates benefits for all the functional enhancements of the HDSN, the class tuning inherent to discriminant saliency, and saliency layers based on templates of increasing target selectivity and invariance. Altogether, these experiments suggest that there are non-trivial benefits in integrating attention and recognition. © 2014 Han and Vasconcelos.


News Article | May 27, 2014
Site: venturebeat.com

The Federal Trade Commission is taking its frustrations with virtual data brokers to Congress. The FTC released a report Monday titled “Data Brokers: A Call for Transparency and Accountability” that illustrates how online consumers are largely clueless when it comes to understanding how data brokers are targeting them — and what they’re doing with your personal information. Now, the FTC is urging Congress to enact legislation that will give Americans access to the information brokers are buying and selling after making a tacit admission that few, if any, laws protect citizens against these practices. The report is freely available here. The FTC interviewed nine online data brokers for the study: Acxiom, CoreLogic, Datalogix, eBureau, ID Analytics, Intelius, PeekYou, Rapleaf, and Recorded Future. FTC senior attorney Tiffany George helped draft the study. The FTC began their research last December, she told VentureBeat. “We are providing information to consumers who may not know the extent of the broker’s practices,” George said. As it stands now, all of the information that brokers collect — your hair color, dog name, bra size, or religious interests — is being collated, packaged, stored, and sold, largely without your consent or knowledge. The feds said that there is little if no transparency in the broker space. According to the FTC: “Many of the purposes for which data brokers collect and use data pose risks to consumers, such as unanticipated uses of the data. For example, a category like ‘Biker Enthusiasts’ could be used to offer discounts on motorcycles to a consumer but could also be used by an insurance provider as a sign of risky behavior.” Now it’s up to Congress to act. FTC chairwoman Edith Ramirez put it this way: Among other things, the FTC is calling for the creation of a centralized portal for data brokers themselves to elucidate their data practices, require that brokers permit consumers access to the information being traded about them, and offer a so-called “opt-out” feature enabling people to suppress the use of their data, kind of like a virtual “do not call” list. The FTC also wants data brokers to obtain permission from individual consumers before sharing, or selling, information about buying habits, for example. The feds new study coincides with the FTC’s assertions in March it will begin going after companies in the mobile sector for basically the same reasons outlined in today’s report. The FTC told VentureBeat that the mobile space is largely unregulated and pointed to companies violating the Children’s Online Privacy Protection Act, or COPPA, as targets. In that case, the FTC singled out online ad companies, ad brokers, and gaming outfits, among others. While some in the mobile sector are bracing themselves for the so-called crackdown, the FTC has yet to publicly act. The report proclaimed that personal data has been collected by brokers on nearly every American consumer using the Web. Indeed, the FTC said that one of the data brokers listed in the study showed they had stored data on more than 1.4 billion online transactions by individual consumers in one month alone. FTC attorney George said that anybody using a computer should read the study. “It is eye-opening,” she said, “to any consumer who reads it.”


News Article | September 1, 2015
Site: www.socaltech.com

San Diego-based ID Analytics said yesterday that it has named Scott Carter as its new Chief Executive Officer. Carter has been ID Analytics' Chief Operating Officer since September of last year, having previously served at Experian, Fair Isaac, and First Union. Carter replaces Larry McIntosh, who had been CEO since 2012; the company said McIntosh will continue as a strategic advisor to the company. No reason for the CEO switchup was given by the company. ID Analytics provides consumer risk management services, software, and data, used by companies and governments to evaluate consumer risk and prevent fraud.


News Article | May 15, 2015
Site: www.businesswire.com

GRAPEVINE, Texas--(BUSINESS WIRE)--defi SOLUTIONS announced the acquisition of Grapevine, Texas-based OpenRule Systems APM (Application Process Manager). The two companies will combine to create an even stronger technology team to serve lenders seeking flexible and affordable loan origination technology. “defi SOLUTIONS and OpenRule were founded with the same goal in mind, to provide lenders with a level of freedom they don’t have with other LOS providers,” said Stephanie Alsbrooks, defi SOLUTIONS CEO and founder. “By combining forces with OpenRule, defi can offer even more functionality to current and future customers.” According to Alsbrooks, the company plans to quickly integrate the features and functions of APM into a single, powerful defi system. The new combined defi SOLUTIONS system will offer lenders: “We look forward to working with the OpenRule team to integrate the many great features of APM that their customers enjoy today,” said Alsbrooks. “During this initial migration to the defi family, we want OpenRule customers to rest assured that we are focused on their needs and coming together in a seamless fashion so they can even more easily overcome the challenges they face when attempting to balance technology, compliance, and risk operations.” The OpenRule team has re-located to the defi headquarters, also located in Grapevine. The combined teams will be on the road for the next several weeks, meeting with customers and completing plans for integration. "We see joining the defi team as an opportunity to advance our functionality and scalability through a hosted technology solution while still offering all the critical support and functionality our customers count on with APM,” said Kevin Perkins, Technology Director, OpenRule APM (now Technology Director with defi SOLUTIONS) To find out more about the robust defi LOS, visit the defi SOLUTIONS booth at either the upcoming Auto Finance Compliance & Auto Finance Risk Summit 2015, May 18–19, in San Diego, California, or the National Automotive Finance (NAF) Association Non-Prime Financing Conference, May 27-29, in Plano, Texas. defi SOLUTIONS provides the only leading edge, browser-based loan origination system (LOS) that is completely configurable by lenders. The defi system allows auto lenders to manage the application lifecycle from a single, highly flexible platform. The defi LOS is affordable, scalable and easily accessible from mobile devices. To schedule a demo of the defi SOLUTIONS system, visit defi SOLUTIONS online at www.defiSOLUTIONS.com.


News Article | May 15, 2015
Site: www.businesswire.com

GRAPEVINE, Texas--(BUSINESS WIRE)--defi SOLUTIONS announced the acquisition of Grapevine, Texas-based OpenRule Systems APM (Application Process Manager). The two companies will combine to create an even stronger technology team to serve lenders seeking flexible and affordable loan origination technology. “defi SOLUTIONS and OpenRule were founded with the same goal in mind, to provide lenders with a level of freedom they don’t have with other LOS providers,” said Stephanie Alsbrooks, defi SOLUTIONS CEO and founder. “By combining forces with OpenRule, defi can offer even more functionality to current and future customers.” According to Alsbrooks, the company plans to quickly integrate the features and functions of APM into a single, powerful defi system. The new combined defi SOLUTIONS system will offer lenders: “We look forward to working with the OpenRule team to integrate the many great features of APM that their customers enjoy today,” said Alsbrooks. “During this initial migration to the defi family, we want OpenRule customers to rest assured that we are focused on their needs and coming together in a seamless fashion so they can even more easily overcome the challenges they face when attempting to balance technology, compliance, and risk operations.” The OpenRule team has re-located to the defi headquarters, also located in Grapevine. The combined teams will be on the road for the next several weeks, meeting with customers and completing plans for integration. "We see joining the defi team as an opportunity to advance our functionality and scalability through a hosted technology solution while still offering all the critical support and functionality our customers count on with APM,” said Kevin Perkins, Technology Director, OpenRule APM (now Technology Director with defi SOLUTIONS) To find out more about the robust defi LOS, visit the defi SOLUTIONS booth at either the upcoming Auto Finance Compliance & Auto Finance Risk Summit 2015, May 18–19, in San Diego, California, or the National Automotive Finance (NAF) Association Non-Prime Financing Conference, May 27-29, in Plano, Texas. defi SOLUTIONS provides the only leading edge, browser-based loan origination system (LOS) that is completely configurable by lenders. The defi system allows auto lenders to manage the application lifecycle from a single, highly flexible platform. The defi LOS is affordable, scalable and easily accessible from mobile devices. To schedule a demo of the defi SOLUTIONS system, visit defi SOLUTIONS online at www.defiSOLUTIONS.com.


News Article | December 15, 2016
Site: www.cnet.com

Smart toys that connect to the internet may be fun, but they're also raising some alarming issues. US lawmakers warn that personal information given to smart toys -- like kids' names, birthdays and even photos -- could be vulnerable to hackers when passed to companies' data servers. "Unfortunately, as toys have become 'smarter' and more prevalent, some connected toy makers have failed to implement sufficient data security practices," said Florida Sen. Bill Nelson in a report (PDF) filed Wednesday by the Senate committee on commerce, science and transportation. The report highlights privacy and security issues that arise when smart toys, an estimated $2.8 billion industry, collect personal information from parents and children. Breaches could lead to inappropriate contact, abduction or identity theft, according to the report. It cites an ID Analytics report from 2011 that estimated more than 140,000 US children are victims of identity fraud annually. In the Senate report, Nelson referenced the November 2015 hack of toy maker VTech Electronics, which exposed the data of more than 6 million children and 4 million parents. VTech didn't respond to requests for comment, but has said its made improvements to its cybersecurity. The report also took aim at how much information smart toys collect from parents and children. One unnamed toy maker told Senate researchers it could save information logged onto its children's tablets for up to 10 years. "While most parents are not data privacy or security experts...parents should nevertheless make efforts to learn about the ways in which a toy maker collects, uses, and secures data -- and reject connected toys that do not provide this information," Nelson said in the report. Last week, the Electronic Privacy Information Center filed a complaint with the Federal Trade Commission that alleges Genesis Toys, which makes the My Friend Cayla doll and the i-Que Intelligent Robot, and speech-recognition software maker Nuance Communications violated federal rules by listening to children and saving the recordings. The 1998 Children's Online Privacy Protection Act requires websites to get parental permission before making any use of data provided by kids younger than 13. The detail that Genesis Toys could listen and record voices was hidden in the company's privacy policy, which senators found was difficult to understand for the average consumer, according to the report. The report cited a Pew Research Center study that said half of Americans don't know what a privacy policy is. Lawmakers recommended the FTC keep a tighter eye on connected toys, while urging toy makers to improve security and only collect essential data smart toys need to operate.

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