Amazon testing grocery service based on computer vision and deep learning technology

Amazon has been private beta testing in Seattle its new “Amazon Go” grocery shopping service, which uses computer vision and deep learning algorithms to intuitively provide consumers with the items they want without having to wait in queues, according to a report by Visions Systems Design. Scheduled to open to the public early this year, the Amazon Go app uses computer vision, sensor fusion, and deep learning technologies to enable consumers to walk into the store, shop for products, and

AAEON partners with iSign to enable tablets with biometric signature technology

Rugged tablets developer AAEON Electronics, Inc. has partnered with biometric signature security firm iSign International Inc., enabling AAEON’s rugged tablets to use iSign’s enterprise IT security solution. The biometric signature solution is compatible with all of AAEON’s IP65 certified and MIL-STD-810G rugged tablet touch screens, without having to incur the cost of additional biometric hardware. iSign’s technology delivers 99.999% security while meeting the most strict mobile enterprise security standards. “AAEON is extremely excited about this strategic partnership with iSign International,”

Behavioral biometrics firm helps Arvato Financial Solutions combat fraud

Arvato Financial Solutions has partnered with behavioural biometrics firm NuData Security to develop a joint solution that integrates behavioral analytics and passive biometrics with a common platform, giving joint clients a more comprehensive understanding of their users in order to provide a frictionless and enhanced experience for legitimate customers while protecting against abuse. According to a company statement, Arvato Financial Solutions has chosen best-of-breed partners combining cutting-edge technologies with their local market know-how and analytics expertise to combat increasingly complex

Leumi Card integrates mobile identity verification solution based on behavioral biometrics

In an effort to provide an advanced layer of security to its customers and eliminate the need for complex passwords, Bank Leumi’s credit card subsidiary, Leumi Card, will introduce the integration of a mobile identity verification solution by SecuredTouch based on behavioral biometrics. SecuredTouch’s technology allows for user identification based on a unique personal usage profile within the mobile device, including such attributes as finger size, touch pressure, touch surface and more. The solution allows for the use of a

Behavioural biometrics technology helps UK bank combat fraud

BioCatch today announced the successful trial of its behavioural biometrics technology at NatWest, one of the largest banks in the UK with over 14 million customers. The BioCatch technology has been deployed at the bank since the start of 2016 with some business customers and continues to successfully prevent online fraud attempts, helping to protect customers. The next step of the plan is to pilot the technology with NatWest personal banking customers later in 2017. According to a company statement,

BioCatch targets enterprises with new release of its behavioral biometrics platform

BioCatch has launched its next-generation platform to optimize the implementation and performance of behavioral biometrics online and on mobile at the enterprise level. According to a company statement, the BioCatch 2.0 release supports extensive scalability requirements, delivering rich data collection of behavioral parameters, and broader identification of remote access Trojans, bots, aggregators, and malware. The new release features fast processing of risk-score calculation, providing real-time behavioral insights, as well as a new graphical user interface for the “Analyst Station”, BioCatch’s

TypingDNA raises new investment in latest financing round

Behavioural biometrics firm TypingDNA has raised new investment in its latest financing round lead by Gecad Ventures with money also coming from Adrian Gheara, Alexandru Negrea, Lucian Todea, and Dan Mihaescu. The amount raised was not disclosed. According to a report in Geektime, the Romanian startup uses machine learning algorithms that authenticates users via “keystroke dynamics” or “biometric typing” to identify users by typing speed, movements and keypad pressure to detect remote access hacks or attempts by an unauthorized user

IBM to add behavioral biometrics feature that detects banking fraud

IBM is adding a behavioral biometrics feature to its Trusteer Pinpoint Detect anti-bank-fraud toolkit to help banks easily detect detect unauthorized logins, according to a report by Fast Company. The new feature, which will be rolled out later this year, will automatically use machine learning to create statistical models tracking how individual users move the cursor while using banking sites and flag unusual behavior. “The system automatically learns normal user behavior,” said Brooke Satti Charles, financial crime prevention strategist at

ImageWare Systems, Fortscale Security deliver behavior analytics-based biometric solution

ImageWare Systems has partnered with Fortscale Security to deliver a combined solution that will leverage Fortscale’s user and entity behavior analytics (UEBA) with ImageWare Systems’ biometric platform to detect breached credentials. The joint solution will ultimately provide a higher level of account security to the global enterprise security market. The companies are also working on a joint strategy to continue co-developing a broader, advanced, adaptive identity management suite. Based on over 100 behavioral attributes, Fortscale applies advanced machine learning to

Startup UnifyID seeks to eliminate the password with implicit authentication technology

Digital authentication startup UnifyID is seeking to eliminate the password system all together with a new technology that combines machine learning, behavioural biometrics, and continuous authentication, according to a report by Techcrunch. UnifyID calls its approach ‘holistic implicit authentication’, which works to establish an understanding about who the user is, which devices they use, where they go, which sensors they interact with throughout the day, as well as the way they walk and how they type. As users begin to