- Mastercard Inc. solidifies its participation in cryptocurrency
- Crypto fraud has steadily increased
- Banks will need to be aware of inevitable crossover fraud
Digital Transactions, true to its name, reported a literal digital transaction as Mastercard Inc. announced last week its acquisition of CipherTrace Inc., a 6-year-old company specializing in technology to combat money laundering and other crimes involving digital-currency transactions.
The deal, terms of which were not disclosed, comes as Mastercard readies a pilot to test converting crypto coins to stablecoins for direct acceptance of crypto-backed cards on its network. Mastercard’s pilot follows a similar move by Visa Inc., which late in March said its integration with San Francisco-based Anchorage Hold LLC, the first federally chartered digital-asset bank, allowed the network to process its first transaction involving direct settlement with a stablecoin, which is a digital currency linked to the dollar.
Mastercard now expects its CipherTrace acquisition will help monitor and interpret moves in the crypto market that could indicate transaction risk. The unit will also help support regulatory compliance.
Crypto Fraud on the Rise
A year ago, there were already reports of steep increases in fraud; Digital Transactions reported that such attacks soared 90% in money services and cryptocurrency between the second half of 2018 and the same period in 2019. Experts correctly predicted that, as stay-at-home users crowded e-commerce channels during the pandemic, online fraud in general rose markedly across sectors.
The problem of crypto-related fraud has grown in recent years. “U.S. exchanges as a whole received $8.4 million worth of bitcoin directly from criminal addresses and sent $41.2 million worth of bitcoin directly to criminally associated addresses,” CipherTrace says in a report on activity in 2020.
“With the rapid growth of the digital asset ecosystem comes the need to ensure it is trusted and safe,” said Ajay Bhalla, president of cyber & intelligence at Mastercard, in a statement. “Our aim is to build upon the complementary capabilities of Mastercard and CipherTrace to do just this.”
AI and Machine Learning for Crypto Fraud
Given the steady escalation of crypto-fraud, we can expect that cross-platform theft will result as fraudsters tie-in to banking systems. Banks will, as a matter of course, need to be more aware of crypto fraud, using AI and machine learning systems to analyze transactions.
Like all financial services companies, Coinbase needs to provide a seamless experience for consumers while taking steps to secure the environment in which they operate. For this, the company relies on artificial intelligence (AI) using machine learning tools from Amazon Web Services (AWS).
“AI has been in the DNA of the company from the very beginning,” says Soups Ranjan, director of data science at Coinbase. “One of the biggest risk factors that a cryptocurrency exchange must get right is fraud, and machine learning forms the linchpin of our anti-fraud system.”
Using Amazon SageMaker, a tool to easily build, train and deploy machine learning models, engineers at Coinbase developed a machine learning-driven system that recognizes mismatches and anomalies in sources of user identification, allowing them to quickly take action against potential sources of fraud.
Banks will need to implement the necessary technologies like AI and machine learning to protect themselves and their customers from fraud. As we have seen in the check processing arena, these technologies have already proven their effectiveness, detecting 95% on targeted use cases. As the industry adopts new payments channels, fraudsters will look to exploit any and all weaknesses, and, consequently, banks need to take a proactive approach by partnering with the right vendors to deploy the right solutions to stop fraud.