Found 37 results in 953 milliseconds.
US-based fraud detection provider Sift has launched Workflow Simulation to drive automated fraud performance with insights gained from simulating a working environment.
fraud prevention, fraud detection, machine learning, data analytics, digitalisation
In the first part of the M&A overview, we pointed out some of the most important deals signed during 2021 in the fraud prevention and cybersecurity space. It is now time to have a look at the mergers and acquisitions that aimed to put in place the technologies that support the fraud, risk, and compliance teams to detect and prevent fraud and financial crime
merger, acquisition, merchants, digital identity, compliance, KYC, online authentication
Sift, report, fraud detection, e-wallet
Sift, digital trust, digital safety, ATO, online fraud, ecommerce, COVID-19, pandemic, cybercriminals, BOPIS, iD, API, Adyen, Braintree, PayPal, Stripe
Since the inception of online businesses, the internet has become a place where anyone can promote and sell just about anything
scams, spam, fake reviews, content abuse, ecommerce, Digital Trust & Safety Index, ATO, Jeff Sakasegawa, digital trust, fraud prevention
During the coronavirus outbreak, Brittany Allen from Sift teaches us how fraud teams can best adapt to working remotely, while also combatting more and different types of fraud
Brittany Allen, Sift, Digital Trust Safety, merchants, ecommerce, security, fraud prevention, COVID-19, remote working, fraud team
‘Ecommerce businesses have a problem - one that causes lost customer revenue, yet has been historically nearly impossible to solve’ Geoff Huang, VP of Product at Sift
Geoff Huang, Insult Monitor, Sift, customer, customer experience, fraud prevention, risk, ecommerce, false positives
Chargebacks911, launch, onboarding, gateways, fraud, merchant, Service Providers, chargeback, management
Sift, a Digital Trust & Safety company, has released its Fraud Aftershock Index, to combat fraud aftershock, while ensuring positive customer experiences.
Sift, digital trust, ATO, fraud prevention, Fraud Aftershock Index, behavioural biometrics
Kevin Lee from Sift shares with online businesses ways to balance a comprehensive approach to managing risk while enabling revenue growth
Kevin Lee, Sift, digital trust, fraud prevention, account takeover, payment fraud, machine learning, chargeback, spam, scams, online security
Sift Science has rebranded as Sift and has released a new report that reveals a critical disconnection between revenue-driving strategies and fraud prevention measures.
Sift, Sift Science, machine learning, merchants, fraud prevention, US, report, trust, payments , security
Ronald Praetsch from about-fraud.com talks what is happening in the airline industry, from a payments fraud perspective, and ways to tackle some issues arising
Ronald Praetsch, airline industry, fraud prevention, card verification numbers, data breaches, personal information, biometrics, behavioural biometrics
As 2018 is almost coming to an end, we are looking back at what happened in the fraud prevention industry to see what we can learn and do better in 2019
The Paypers, retrospective, 2018, fraud prevention, identity verification, online authentication, malware, blockchain, cryptocurrency
A complete overview of the latest trends into digital onboarding and fraud mitigation.
The Web Fraud Prevention, Identity Verification & Authentication Guide 2018 is now live, offering a complete overview of the latest trends into digital onboarding and fraud mitigation for banks, merchants and PSPs.
fraud, digital identity, security, authentication, machine learning, identity verification, regulation
Sift Science, a provider of fraud prevention and risk management solutions using real-time machine learning (ML), has released Sift Insights.
Sift Science, machine learning, product launch, real time machine learning, abuse, chargeback
Anda Kania, The Paypers: The ecommerce industry needs new technology, expertise and security products, but after all, everything is based on knowledge
MRC, Rapid EDU, payments , fraud management, chargebacks, ecommerce, MRC Dublin, risk
Aldrin Mangalabal, from Acapture, explains how Machine Learning, unlike traditional fraud prevention systems, can predict fraudulent behaviour without hindering the customer experience
Acapture, machine learning, machine learning fraud prevention, fraud prevention, customer experience, Aldrin Mangalabal
Acapture, an omnichannel payment processor, has teamed up with Sift Science, a fraud detection company, to enable merchants reduce fraud.
Acapture, Sift Science, partnership, machine learning, ecommerce, merchants, fraud prevention, false positives
Sift Science has announced a USD 53 million Series D funding round to expand its global footprint in the fraud detection and prevention market.
Sift Science, funding, fraud prevention, machine learning, web fraud, Digital Trust Platform, payment fraud