Found 16 results in 718 milliseconds.
Marija Solovjova, Head of Fraud AML Disputes Oversight at Ecommpay, explores how graph analysis weaponises the criminals’ network against them to prevent and pre-empt online fraud.
fraud management, online fraud, fraud detection, chargebacks, merchants, ecommerce, artificial intelligence, machine learning, Account fraud, credit card fraud, ATM, account takeover, refund, refund fraud, identity fraud
US-based company Jumio has announced the launch of its new AI-driven fraud prevention technology, in order to identify fraud patterns more accurately.
product launch, fraud management, fraud prevention, fraud detection, identity theft, identity verification, identity fraud
Norway-based Strise has raised EUR 10 million in a Series A funding round in order to decrease financial crime with AML automation.
AML, artificial intelligence, financial institutions, financial crime, financial data
Discussing AI explainability, Dr Janet Bastiman from Napier emphasizes the importance of understanding model breakdowns, building trust, and providing plain language explanations.
artificial intelligence, machine learning, API, data analytics
Graph technology is becoming key for more efficient fraud and AML investigations. Read how Ria Money Transfer used cutting-edge software by Linkurious to slash investigation time for complex cases.
money transfer, money laundering, fincrime, artificial intelligence, machine learning, graph analytics, AML
Jumaane Hutchinson, Head of Product for Mobile Wallet and Banking at Netcetera, goes through the most common types of mobile commerce fraud and advises on how merchants can improve their fraud prevention techniques, ahead of the holiday season.
fraud prevention, ecommerce, chargebacks, merchants, tokenization, cybercrime
To fight financial crime, continuously explore new technologies, remain vigilant of old forms of fraud, collaborate with other teams, and raise awareness throughout the organisation.
machine learning, financial crime, regtech, transaction monitoring, money laundering, fraud management, banks
Jesper Domargård from IDEMIA explains how metal cards are becoming more popular due to evolving customer expectations
credit card, debit card, payment processing, banks, fintech, neobanks, customer experience
Quantexa, a data and analytics software company pioneering Contextual Decision Intelligence (CDI), has raised USD 153 million in Series D funding from Warburg Pincus and other investors.
funding, Quantexa, data analytics, artificial intelligence, financial crime
Nick Maynard, Lead Analyst at Juniper Research, discusses how the KYC area has changed over the time and explains what are the main elements that support and shape the KYC processes
KYC, Juniper Research, fraud management, data, digital onboarding, fraud prevention
merchant onboarding, Ekata, KYC, API
Ravelin, machine learning, graph network technologies, Marketplaces, fraudulent accounts, Fiserv, Fraud Detect, machine learning, ecommerce, card fraud, account takeover, Ravelin Accept, PDS2
Financial institutions had a slow progress when it comes to digital change. Ekata’s Spencer McLain uncovers several ways to stay ahead of fraudsters and optimize the digital experience for customers
Ekata, customer experience, banking, fraud prevention
Account takeover can be a nightmare for companies. Kevin Lee from Sift Science shares his knowledge on how to prevent this type of fraud.
account takeover, Sift Science, Kevin Lee, web fraud, data breaches, security
We sat down with Reed Taussig and Vanita Pandey from ThreatMetrix at the Digital Identity Summit in London to discuss digital authentication in the context of digital commerce.
Reed Taussig, ThreatMetrix, Vanita Pandey, Digital Identity Summit in London, digital authentication, ecommerce, digital identity, PSD2, Strong Customer Authentication
Amador Testa, Emailage: Deep learning refers to a specific class of machine learning and artificial intelligence
machine learning, data, artificial intelligence, security, fraud prevention, pattern recognition, Emailage, Amador Testa, expert opinion