Budapest Post

Cum Deo pro Patria et Libertate
Budapest, Europe and world news

Online lenders enlist AI-driven behavioural analysis in the fight against fraud

Online lenders enlist AI-driven behavioural analysis in the fight against fraud

A survey conducted by PwC found that in 2018, 49 per cent of respondents said their companies were victims of fraud, up from 36 per cent in 2016
An online buyer picks the most expensive product in the catalogue without doing a price comparison, carries out the transaction very early in the morning, and hesitates when typing in personal details.

This type of behaviour would raise a red flag among those tracking online fraud, and while this work has been done manually by specialist staff, financial institutions are increasingly turning to AI to help.

“Behavioural data analysis by artificial-intelligence tools is more efficient to detect fraud than manually-based approaches,” said Shi Hongzhe, technology head of the US-listed consumer finance platform Lexin, which launched an AI-driven risk management platform aiming at detecting and preventing loan fraud.

“Many fraud cases cannot be identified by man-made rules,” he said.

Loans used to be approved largely based on the amount requested and the standing of the borrower, but the increasing rate of online fraud has forced the finance industry to look beyond its traditional methods of determining the reliability of a borrower. A survey conducted by PwC found that in 2018, 49 per cent of respondents said their companies were victims of fraud, up from 36 per cent in 2016.

The application of AI, specifically predictive machine learning algorithms, can help detect and stop fraudsters by analysing their mobile online interactions, including the speed in which they type in personal data and the time of day they visit websites.

Teradata, a San Diego-based data analytics company, offers AI-driven fraud detection solutions to banks. One of its clients, Denmark’s Danske Bank, employed AI software to cut the number of false positives generated by human-written rules engines by 60 per cent, and increase detection of real fraud by 50 per cent.

Lexin’s self-developed Hawkeye platform, which every day can detect more than 500 potential fraudsters involving 3 million yuan (US$426,000), is an example of how the broader financial-services industry is using machine learning to detect patterns that could signal criminal behaviour.

Algorithms can detect an illicit loan application by scanning for anomalies in certain behaviours and analysing digital information ranging from a device’s geolocation to biometric authentication. For example, the AI platform would send an alert if multiple loan applications pop up from the same device at an unusual time of day, such as dawn, when legitimate customers would not normally apply for loans, said Shi.

Some instalment payment applications could also be flagged as potential fraud if the buyer does not do any price comparisons online, and instead purchases the most expensive one.

In addition, as most online fraud involves identity theft, it can often be detected if the applicant does not fill in personal identification data smoothly, indicating they have not memorised the stolen ID.

Lexin’s other business, an e-commerce platform that offers instalment loans for product purchases, is also the target of scammers. In one new scam, a fraudster gains the confidence of target by convincing them to make small purchases from the Lexin platform on their behalf, offering to pay more money in return. Then the scammer does the same with a more expensive product, like an iPhone or iPad, and does not repay. The targeted “buyer” is left with the responsibility of paying off the rest of the loan.

If multiple similar cases like this are reported over a concentrated period of time, Lexin will push out warnings to its customers through its app.

“As fraudsters adopt new ways for online fraud, new scenarios are added to our system and the platform can issue a warning if similar behaviour appears,” said Shi.

In recent years, financial institutions have started using machine learning to prevent fraud, with some banks deploying the technology in direct response to the rise of more sophisticated cybercrimes.

“Nevertheless, the rate of AI and machine learning deployment as a fraud management measure remains relatively low,” Chris Holmes, senior vice-president of marketing consultancy KAE, said in a report. “We expect that this will not be the case for long, and that deployment in this area will rise significantly in the next two to three years.”

In October, Mastercard introduced its Threat Scan service which can identify vulnerabilities in merchants’ authorisation systems by applying an array of test scenarios that simulate fraudulent attacks.

Rival Visa is rolling out a platform that uses AI algorithms to help detect and prevent credit-card fraud.

“Financial firms detect online fraud by analysing behaviours,” said Shi, regardless of whether the approach used is low tech or high tech. “In the future when AI is more deeply employed, fraud may be detected by analysing facial emotions or voices. We will have a more natural interaction with the AI machines in the finance industry.”

Ping An Insurance, China’s second largest insurer by premiums, is already using face and voice recognition systems to protect its policyholders from fraud.
AI Disclaimer: An advanced artificial intelligence (AI) system generated the content of this page on its own. This innovative technology conducts extensive research from a variety of reliable sources, performs rigorous fact-checking and verification, cleans up and balances biased or manipulated content, and presents a minimal factual summary that is just enough yet essential for you to function as an informed and educated citizen. Please keep in mind, however, that this system is an evolving technology, and as a result, the article may contain accidental inaccuracies or errors. We urge you to help us improve our site by reporting any inaccuracies you find using the "Contact Us" link at the bottom of this page. Your helpful feedback helps us improve our system and deliver more precise content. When you find an article of interest here, please look for the full and extensive coverage of this topic in traditional news sources, as they are written by professional journalists that we try to support, not replace. We appreciate your understanding and assistance.
Newsletter

Related Articles

0:00
0:00
Close
Vatican hosts first Catholic LGBTQ pilgrimage
Apple Unveils iPhone 17 Series, iPhone Air, Apple Watch 11 and More at 'Awe Dropping' Event
France joins Eurozone’s ‘periphery’ as turmoil deepens, say investors
France Faces New Political Crisis, again, as Prime Minister Bayrou Pushed Out
Nayib Bukele Points Out Belgian Hypocrisy as Brussels Considers Sending Army into the Streets
France, at an Impasse, Heads Toward Another Government Collapse
The Country That Got Too Rich? Public Spending Dominates Norway Election
EU Proposes Phasing Out Russian Oil and Gas by End of 2027 to End Energy Dependence
More Than 150,000 Followers for a Fictional Character: The New Influencers Are AI Creations
EU Prepares for War
Trump Threatens Retaliatory Tariffs After EU Imposes €2.95 Billion Fine on Google
Tesla Board Proposes Unprecedented One-Trillion-Dollar Performance Package for Elon Musk
Gold Could Reach Nearly $5,000 if Fed Independence Is Undermined, Goldman Sachs Warns
Uruguay, Colombia and Paraguay Secure Places at 2026 World Cup
Trump Administration Advances Plans to Rebrand Pentagon as Department of War Instead of the Fake Term Department of Defense
Big Tech Executives Laud Trump at White House Dinner, Unveil Massive U.S. Investments
Tether Expands into Gold Sector with Profit-Driven Diversification
‘Looks Like a Wig’: Online Users Express Concern Over Kate Middleton
Florida’s Vaccine Revolution: DeSantis Declares War on Mandates
Trump’s New War – and the ‘Drug Tyrant’ Fearing Invasion: ‘1,200 Missiles Aimed at Us’
"The Situation Has Never Been This Bad": The Fall of PepsiCo
At the Parade in China: Laser Weapons, 'Eagle Strike,' and a Missile Capable of 'Striking Anywhere in the World'
The Fashion Designer Who Became an Italian Symbol: Giorgio Armani Has Died at 91
Putin Celebrates ‘Unprecedentedly High’ Ties with China as Gazprom Seals Power of Siberia-2 Deal
China Unveils New Weapons in Grand Military Parade as Xi Hosts Putin and Kim
Rapper Cardi B Cleared of Liability in Los Angeles Civil Assault Trial
Google Avoids Break-Up in U.S. Antitrust Case as Stocks Rise
Couple celebrates 80th wedding anniversary at assisted living facility in Lancaster
Information Warfare in the Age of AI: How Language Models Become Targets and Tools
The White House on LinkedIn Has Changed Their Profile Picture to Donald Trump
"Insulted the Prophet Muhammad": Woman Burned Alive by Angry Mob in Niger State, Nigeria
Trump Responds to Death Rumors – Announces 'Missile City'
Druzhba Pipeline Incident Sparks Geopolitical Tensions
Cost of Opposition Leader Péter Magyar's Economic Plan Revealed
Germany in Turmoil: Ukrainian Teenage Girl Pushed to Death by Illegal Iraqi Migrant
United Krack down on human rights: Graham Linehan Arrested at Heathrow Over Three X Posts, Hospitalised, Released on Bail with Posting Ban
Asian and Middle Eastern Investors Avoid US Markets
Ray Dalio Warns of US Shift to Autocracy
Eurozone Inflation Rises to 2.1% in August
Russia and China Sign New Gas Pipeline Deal
Von der Leyen's Plane Hit by Suspected Russian GPS Interference in an Incident Believed to Be Caused by Russia or by Pro-Peace or by Anti-Corruption European Activists
China's Robotics Industry Fuels Export Surge
Suntory Chairman Resigns After Police Probe
Gold Price Hits New All-Time Record
UK Fintechs Explore Buying US Banks
Greece Suspends 5% of Schools as Birth Rate Drops
Apollo to Launch $5 Billion Sports Investment Vehicle
Bolsonaro Trial Nears Close Amid US-Brazil Tension
European Banks Push for Lower Cross-Border Barriers
Poland's Offshore Wind Sector Attracts Investors
×