Established provider LexisNexis Risk Solutions remains atop Forrester's digital fraud management rankings, while upstart Sift broke into the leaders category for the first time. Many providers in the space have expanded from payment transactions to account takeover fraud as well as handling scams.
While the problems of money laundering and mule accounts continue to haunt the financial industry, fintechs are using AI to a large extent to mitigate the problem, said Kawin Boonyapredee, a member of the Cyber Risk Subcommittee for the Singapore FinTech Association.
With the rampant surge of fraudulent schemes hitting the world at the moment - including the creation of fake cryptocurrencies, bank websites and investment scams - a more dynamic and holistic approach to detection and prevention is mission-critical for banks and regulators.
Financial institutions globally have invested heavily in anti-financial crimes strategies and tools that report potential risk to regulatory authorities. But so have their adversaries. David Stewart and Keith Swanson discuss how institutions are using AI/ML to create more effective fraud defenses.
Synthetic ID fraud has moved beyond business-to-consumers to business-to-business fraud as more bad actors are opening fraudulent commercial accounts at financial institutions, said Dori Buckethal, vice president of risk and fraud solutions at Thomson Reuters.
Phishing attacks have come a long way from the spray-and-pray emails of just a few decades ago. Now they’re more targeted, more cunning and more dangerous. And this enormous security gap leaves you open to business email compromise, session hijacking, ransomware and more.
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It takes organisations 280 days on average to identify and contain a cyberbreach. But IT security leaders who can connect and automate security, risk, IT and asset management workflows on a single platform can improve the mean time to contain breaches by 85%. Read this guide to learn how you can transform your IT...
Each year, billions of dollars are transferred in and out of money mule accounts to support a variety of money laundering schemes. But banks are now using machine learning and AI more effectively to spot mule accounts. Two experts shared the latest approaches and tools for beefing up AML programs.
In the latest weekly update, finance security expert Ari Redbord joins ISMG editors to discuss takeaways from the U.S. Treasury's 2023 DeFi Illicit Finance Risk Assessment, the state of blockchain analytics and where it is headed, and traction for FinCEN's Financial Action Task Force Travel Rule.
Coinbase agreed to a $100 million settlement with the New York financial regulator on Wednesday over cybersecurity lapses and failure to comply with anti-money laundering guidelines that allowed criminals to use the platform for fraud, money laundering and other illicit activities.
The U.S. attorney in New York has established a task force to trace and recover funds missing from FTX and manage probes related to the firm's collapse. The team comprises prosecutors with expertise in securities and commodities fraud, money laundering and asset forfeiture and cybersecurity.
User education is vital to boosting the detection rate of phishing emails or social engineering scams that could lead to data breaches or ransomware infestations. Technology alone can't make websites or email inboxes safe since both are business-critical for all users, says ID Agent's Amelia Paro.
How are money launderers exploiting the various gaps in the telecom and banking industry? Hesham Sayed Shoeb, fraud supervisor with Saudi Telecom Co., shares his experience on fighting money launderers and how to improve systems and tools to catch more fraudulent transactions.
Four ISMG editors discuss how security leaders determine the right level of security for the business, the growing risk of business ID theft to enterprises, and the arrest of a developer suspected of working for cryptocurrency mixing service Tornado Cash, for "facilitating money laundering."
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