# Harnessing AI and machine learning for fraud detection in trade finance Author: Pal Sinha, Barnali Author URL: https://financedigest.com/author/pal-sinha-barnali Published: 2023-07-05 Category: TECHNOLOGY Category URL: https://financedigest.com/category/technology Meta Title: Leveraging AI and ML for Fraud Detection in Trade Finance Meta Description: Discover the benefits of AI and machine learning in trade finance to detect and prevent fraud, and learn how to integrate these technologies for enhanced URL: https://financedigest.com/harnessing-ai-and-machine-learning-for-fraud-detection-in-trade-financehtml ![undefined](https://prod.superblogcdn.com/site_cuid_cm5qst7v3003gwirgwqtxn8i8/images/harnessing-ai-and-machine-learning-for-fraud-detection-in-trade-finance-1736813793174-compressed.jpg) # **Harnessing AI and machine learning for fraud detection in trade finance** Banks, retailers, and other companies rely on trade finance controls to ensure their operations run smoothly. At the same time, criminals are always looking for ways to exploit processes, whether to launder money or get loans and avoid paying them back. As financial organizations evolve from physical to digital documentation and security checks, it’s important to understand how artificial intelligence (AI) and machine learning (ML) can help detect and prevent fraud. Get to know the benefits of such [technologies in trade finance](https://www.financedigest.com/the-transformative-power-of-technology-in-banking-and-finance.html "The Transformative Power of Technology in Banking and Finance"), especially when it comes to countering criminal activity. The next step is to understand how to best employ AI-based solutions and protect your company. ## **Why AI and machine learning are important for financial fraud detection** Considering the damage that [financial fraud](https://www.financedigest.com/why-financial-services-firms-are-banking-on-behavioural-biometrics-to-beat-fraud.html "Why financial services firms are banking on behavioural biometrics to beat fraud") can cause, a security system with high-level manual and automated controls can catch suspicious activity before it leads to bigger problems. Take the [trade finance fraud case](https://www.sfo.gov.uk/2023/02/02/serious-fraud-office-secures-three-convictions-in-500-million-trade-finance-fraud/) against Balli Steel Plc, for example. Through misleading information, as well as false documentation and business deals, the steel trader acquired loans amounting to [around $500 million](https://www.financedigest.com/supercapacitor-market-size-to-worth-around-usd-5979-67-million-by-2026-tmr.html "Supercapacitor Market Size to Worth around USD 5,979.67 Million by 2026 – TMR"). Over 20 creditor banks were affected. If your network and workflow incorporate AI-based tools, you’ll be able to verify identities, channel data into useful insights about customers and workers, see behavior and transaction patterns that don’t add up, and more. However, [perfectly combining your business with intelligent technology](https://www.financedigest.com/how-to-choose-the-perfect-it-and-technology-partner.html "How to Choose the Perfect IT and Technology Partner") is easier said than done. It takes a careful plan and setup, as [well as regular monitoring](https://www.financedigest.com/precise-remote-monitoring-to-steal-the-north-america-medical-wellness-devices-market.html "Precise Remote Monitoring to steal the North America Medical Wellness Devices Market") of data, programs, and people. Keep reading to find out what you need to [set up the best system for your company](https://www.financedigest.com/london-set-for-hosepipe-ban-from-aug-24-water-company.html "London set for hosepipe ban from Aug. 24 – water company"). ## **How to use AI and machine learning in trade finance to combat fraud** The annual value of [AI in banking](https://www.mckinsey.com/industries/financial-services/our-insights/ai-bank-of-the-future-can-banks-meet-the-ai-challenge) is estimated to reach $1 trillion, and 25% of services in the financial sector employ ML techniques to support fraud detection, underwriting, and risk management. The [growing popularity](https://www.financedigest.com/growing-popularity-of-horseback-riding-to-bolster-sales-of-hoof-boots-market-fact-mr-report.html "Growing Popularity of Horseback Riding to Bolster Sales of Hoof Boots Market: Fact.MR Report") of AI and machine learning in trade finance security is a direct result of how efficient the technologies can be. To put them to good use, follow the tips below. ### **1\. Manage transactions** The main concern in this regard is [transaction monitoring](https://seon.io/resources/guides/transaction-monitoring/). It’s a major asset in countering fraud, money laundering, and terrorist financing as fraud increased by 30% between 2021 and 2022. So, while setting up your company’s payment methods, from [cards to virtual](https://www.financedigest.com/virtual-cards-will-help-lead-the-travel-industry-into-a-post-pandemic-boom.html "Virtual cards will help lead the travel industry into a post-pandemic boom") wallets, make sure you’re also able to check how customers use them. Your AI/ML system can facilitate transactions, while flagging up suspicious activity, such as multiple failed log ins, inconsistent user details, large payments or deposits, and sign ins from different devices or geolocations. ### **2\. Monitor other processes affecting trade finance** Securing your financial infrastructure as a trader isn’t just about transactions. There are more [factors to consider](https://www.financedigest.com/essential-factors-to-consider-before-purchasing-a-cobot.html "Essential Factors To Consider Before Purchasing A Cobot"), which AI/ML tools can enhance just as much. For example, their automated [operations make it easier to verify customer](https://www.financedigest.com/vulnerable-customers-what-the-consumer-duty-rules-mean-for-both-financial-services-and-non-financial-service-operators-and-how-the-rules-could-develop-in-the-coming-years.html "Vulnerable customers; What the Consumer Duty rules mean for both financial services and non-financial service operators and how the rules could develop in the coming years") and worker IDs, assess risks during and after the onboarding stage, and comply with AML, KYC, and other regulations. ### **3\. Collect and analyze data** All the information your company collects can be used constructively, but without the right tools or manpower, much of it is often stored and forgotten. As the technology evolves, there’s no better option than [AI for managing financial data](https://www.financedigest.com/theres-nothing-artificial-about-the-role-of-ai-and-data-in-the-finance-industry.html). It can index, segment, and retrieve information [faster and more efficiently than humans](https://www.financedigest.com/robots-are-making-french-fries-faster-better-than-humans.html "Robots are making French fries faster, better than humans"). Such an algorithm can automatically organize data like email and IP addresses, card details, transactions, and behavior patterns. Then, it can deliver requested information or even in-depth [reports full of insights about your business’s performance](https://www.financedigest.com/naturgys-profit-rises-on-lng-gains-soothing-shareholders-by-pietro-lombardi-madrid-reuters-spanish-power-utility-naturgy-reported-on-monday-an-88-jump-in-profit-for-the-first-six-months-of.html "Naturgy’s profit rises on LNG gains, soothing shareholders By Pietro Lombardi MADRID (Reuters) – Spanish power utility Naturgy reported on Monday an 88% jump in profit for the first six months of the year, boosted by strong earnings at its liquefied natural gas (LNG) business, which could help it to win over restive investors. Earlier this month, the company said it would increase its dividend floor through 2025 while trimming expected investment, as it sought to make rewarding shareholders a priority. Pleasing them has become a focus as Naturgy considers changes that could reshape the company and after arguments over the potential appointment of a chief executive. Naturgy’s first-half net profit jumped to 1.05 billion euros (.16 billion), boosted by its liquefied natural gas (LNG) business. Shares were down 0.2% in mid-morning trading, bucking deeper declines, in particular for Spain’s blue-chip banks and utilities after a general election on Sunday produced no clear winner. Renta 4 Banco analyst Angel Perez Llamazares said Naturgy performed better than expected, adding “cash flows also beat our expectation,” and debt fell more than expected. After natural gas prices hit record levels last year, Naturgy said a fall in procurement costs this year and hedging gains had boosed profits. In the first half of the year, the company “exceeded the objectives of operating efficiency, cash generation, investment materialisation and debt reduction,” Executive Chairman and CEO Francisco Reynes said. After rival Iberdrola named a separate CEO last year, Naturgy is the only large energy company in Spain to combine the roles of executive chairman and CEO. Earlier this month, the company raised the dividend floor to 1.40 euros a share, from 1.20 euros. Operating profit (earnings before interest, tax, depreciation and amortisation) is expected to reach 5.1 billion euros, compared with a previous guidance of 4.8 billion euros. It said it was targeting net profit of 1.8 billion euros in 2025. Naturgy also relaunched its plan to split regulated infrastructure operations and liberalised energy businesses into two listed companies. The project had been suspended after the Ukraine war disrupted energy markets and analysts are still sceptical. “We believe it is unlikely that Naturgy will be able to implement its asset split in the short term and it is also unlikely that a big change in the shareholding of the company would occur,” said RBC analyst Fernando Garcia. ( = 0.8986 euros) (Reporting by Pietro Lombardi, editing by Inti Landauro and Barbara Lewis)"). Data also teaches machine learning programs how to improve in their allocated tasks. The more information you feed them, the better they can [meet your demands](https://www.financedigest.com/britains-national-grid-expects-to-meet-electricity-demand-this-winter.html "Britain’s National Grid expects to meet electricity demand this winter"). It’s a mutually beneficial relationship. ### **4\. Establish sophisticated security checks** According to [AI in financial services reports](https://www.nvidia.com/content/dam/en-zz/Solutions/industries/finance/ai-financial-services-report-2022/fsi-survey-report-2022-web-1.pdf), 31% of responding companies noted an increase in annual revenue and 28% a decrease in costs by at least 10% respectively. While accurate models, efficient operations, and improved [customer experiences](https://www.financedigest.com/revolutionising-finance-exploring-the-impact-of-omnichannel-insurance-on-customer-experience.html "Revolutionising Finance: Exploring the Impact of Omnichannel Insurance on Customer Experience") are largely to thank for this, enhanced security shouldn’t be overlooked. With AI-based payment and identity verification checks that utilize methods like device fingerprinting, IP analysis, and two-factor authentication, you can analyze users’ data and make sure you’re not dealing with fraudsters. Making the effort helps avert [data breaches](https://www.financedigest.com/amazons-twitch-blames-configuration-error-for-data-breach.html "Amazon’s Twitch blames configuration error for data breach") and the loss of resources, from money and sensitive information to customer loyalty. The heavy penalties for failing AML and KYC mandates are easier to avoid, too. ### **5\. Enforce consistent documentation and audits** If you don’t record and store financial information regularly and accurately, you will miss data vital to your company’s operation and advancement. Besides [setting strict rules](https://www.financedigest.com/japans-ruling-party-is-set-for-likely-bruising-in-weekend-election.html "Japan’s ruling party is set for likely bruising in weekend election") for workers and algorithms, review all documentation when possible and specifically check for errors, discrepancies, hidden details, and other red flags of financial crime. With the [digitalization of auditing](https://www.financedigest.com/digitalisation-can-be-the-key-to-unlocking-growth-in-audit.html), it’s easier than ever to access and control data sources, streamline processes, and communicate with all parties involved. ### **6\. Train staff in AI and machine learning** Your super intelligent network won’t be of much use if you and your employees [don’t know](https://www.financedigest.com/women-in-technology-that-you-should-know-but-probably-dont.html "Women In Technology That You Should Know (But Probably Don’t)") how it works. Before installing your desired software, assess your workforce’s understanding of AI/ML technology, identify what training you can provide, and prepare your staff for what’s to come. If you aim to combine human and computer processes in a [hybrid security](https://www.financedigest.com/hybrid-working-and-the-continued-security-challenges-for-financial-organisations.html "Hybrid working and the continued security challenges for financial organisations") system, for example, relevant workers should grasp what your AI tools even do and how to use them for different tasks. With practice and additional training, your manual and automated operations should run all the smoother, whether you’re detecting and [preventing fraud](https://www.financedigest.com/fintechs-want-fraud-prevention-taught-in-schools-as-britain-becomes-a-passwordless-society.html "Fintechs want fraud prevention taught in schools as Britain becomes a passwordless society") or streamlining your financial reporting. ## **Protect your finances as a trader with AI and machine learning** [Think about the infrastructure your company’s](https://www.financedigest.com/three-must-do-think-about-before-opening-a-company-in-hong-kong.html "Three Must-Do Think about Before Opening a Company in Hong Kong") financial processes need. Factor in the amount of data you generate, how many employees you have, what skillsets they lack, and, most importantly, what threats you’re likely to encounter. AI/ML [solutions are the way forward](https://www.financedigest.com/the-infection-surveillance-solutions-market-is-likely-to-scintillate-going-forward.html "The Infection Surveillance Solutions Market is likely to scintillate going forward"). They do have a steep learning curve, but once you understand their functions and benefits, your business will become safer and far more productive. --- This blog is powered by Superblog. Visit https://superblog.ai to know more. ---