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Within this article, we analyze how AI’s adoption in 2024 impacted key areas of digital CX, highlighting global trends as well as specific insights from major markets like the US and UK. Overall, banks that deployed AI at scale in 2024 reported significant improvements in digital channel usage and customer feedback.
The dual impact of generative AI on payment security, highlighting its potential to enhance frauddetection while posing significant data privacy risks. It underscores the need for payment firms to balance AI innovation with robust privacy and regulatory compliance to protect sensitive consumer data. Why is it important?
As digital payments evolve, AI is reshaping fraud prevention with real-time insights, adaptive controls, and improved security across financial systems. Unfortunately, older frauddetection methods often cant keep up with todays fast-moving threats. Theres also the challenge of fitting AI into legacy systems.
The article explores the growing threat of AI-enabled fraud in the payments sector and how firms can combat it with advanced technologies. It highlights the urgent need for payments firms to address AI-driven fraud to protect financial security, maintain customer trust, and comply with regulations. Why is it important?
The financial services industry has consistently led the way in embracing technological advancements, with Generative AI (GenAI) emerging as a transformative force in recent years. However, the emergence of Agentic AI marks a significant evolution in this landscape. What is Agentic AI?
A couple of years after its initial boom, artificial intelligence (AI) still remains a huge buzzword in the fintech industry, as every firm looks at a new way of integrating the tech into its infrastructure to gain a competitive edge. “The solution isn’t to use AI less, but rather to test it more rigorously. .
Temenos has introduced a new AI-powered solution aimed at improving how banks detect and manage financial crime. Announced at the Temenos Community Forum in Madrid, the Temenos FCM AI Agent is now generally available. The AI Agent was developed in collaboration with a European tier-1 bank under Temenos Design Partner Program.
It highlights new corporate responsibilities, significant penalties for non-compliance, and the businesses need to implement strong fraud prevention measures to protect their financial and reputational standing. Compliance requires proactive fraud risk assessment, the implementation of preventive procedures, and a culture of accountability.
AI and machine learning: Strengthening security and financial access Artificial intelligence is transforming risk assessment and fraud prevention in the payment ecosystem. AI plays a crucial role in frauddetection and compliance, ensuring that financial inclusion does not come at the cost of security.
NYC, NYC, March 11th, 2025, FinanceWire Feedzai , the global leader in AI-native fraud prevention solutions, today announced the launch of ScamAlert, an innovative GenAI-powered fraud prevention agent built from a deep understanding of tactics fraudsters use to exploit consumers.
How digital commerce platforms manage escalating fraud risks while scaling operations. Rising fraud, complex regulations, and evolving threats are straining platforms’ ability to grow securely. A shift toward AI-driven, integrated fraud management systems aligned with tightening UK regulations. Why is it important?
AI can enhance transaction monitoring, while stronger KYC processes and staff training will help manage risks and maintain compliance. Partnering with regional providers, leveraging AI for frauddetection, and conducting regular audits will ensure compliance, transparency, and operational excellence.
Rather than cost reduction, firms are prioritising strategic benefits such as scalability, revenue growth, and the enablement of artificial intelligence (AI). While only 34% of firms prioritise immediate cost savings, 51% assess cloud success by scalability, 47% by revenue growth, and another 47% by improvements in security and resilience.
From AI-driven personalisation to localised routing and wallet-native flows, the future of payments is invisible, optimised and secured by real-time, adaptive fraud protection. The methodology combines quantitative analysis of operational metrics with qualitative assessment of strategic priorities.
Frauddetection and prevention are critical features of a payment gateway. To properly evaluate payment gateway providers, merchants should conduct thorough research, participate in demos and trials, assess vendor reputation, and review customer support options for each. Thus, AI-powered frauddetection is on the rise.
Assessment fees : this fee is paid by the acquiring bank (your merchant account provider) to the relevant card network to finance its related operational expenses. Good providers will equip you with advanced frauddetection tools and robust mechanisms for reducing and preventing chargebacks.
It highlights how innovation, regulation, AI, and risk management are shaping the future of payments and impacting business models. Participants tackled five central themes: underleveraged innovation, the operationalisation of AI, regulatory challenges, the evolution of embedded finance, and strategic risk planning for 2025 and beyond.
AI is already disrupting every area of the financial services industry, and is being included in almost every strategic conversation around technology-enabled transformation. High-quality, accurate data lies at the core of every successful AI implementation. It is here that a data-driven approach must be agreed upon.
Paytiko GrowthHub is not merely a novel feature; it is a technological advancement that integrates AI-powered intelligence, automation, and data-driven insights into a single, integrated platform. AI consistently monitors this metric with GrowthHub, comparing current performance to historical benchmarks and regional standards.
From fresh AI applications to the new uses for embedded finance, fintech is experiencing a renewed momentum. ” The panel will look at the rise of lending integrations, the role of AI in risk assessment, embedded finance regulation, and more.
It assesses whether the new policy is effectively protecting consumers and reducing fraud, while also highlighting ongoing challenges and debates about a broader, cross-sector approach to tackling APP fraud. The future fight against APP fraud is helped by technology. 2) APP fraud remains a persistent threat In 2024, £450.7
Issued by Ernst & Young (EY), a leading independent auditing firm, the SOC 2 Type II certification is a rigorous assessment for operating effectiveness of a service providers internal controls. This certification underscores Antoms commitment to meeting the highest security standards, reinforcing its advanced payment solutions.
To address these issues, international leaders such as Klarna, Afterpay, PayPal, and Affirm are already using artificial intelligence (AI) and big data to minimise their losses and at the same time personalize services for customers and increase sales. AI-powered credit systems reduce default rates and improve customer satisfaction.
The findings show that it’s technically possible, but with significant challenges surrounding frauddetection, data sharing, and usability. Integrating Phygital data—combining physical cash and digital payments—will enrich data quality, empowering AI to deliver precise insights and enhance financial inclusion.”
The funding arrives less than a year after its previous raise and is intended to scale product development, particularly in the areas of AI integration and operational infrastructure. Payabli plans to allocate the funds toward strengthening its go-to-market strategy, customer success operations, and development of AI-driven features.
Joseph Elias Phillips, co-founder and Co-CEO of Payabl, says the new funding will be directed to product development, with a focus on AI-driven features. “We’re fortunate to be experiencing rapid growth at a time when AI is poised to revolutionize the financial services industry," he says.
AI and Edge Computing: How to Power Data-Driven Finance Artificial Intelligence (AI) is revolutionising fintech through real-time frauddetection, automated trading and risk assessment. As AI adoption grows, fintechs will depend increasingly on machine learning for hyper-personalised services.
With the evolution of cutting-edge technology came centralized data management that provides real-time insights, and AI-driven monitoring and analytics. From loan underwriting to collections, AI algorithms streamline processes, enhance accuracy, and improve the overall customer experience. Explainable AI (XAI) promotes transparency.
The five-day event saw experts from across the financial market come together to discuss and learn about AI-driven financial services, investment platforms, strategic partnerships, fraud prevention and more. LEAP 2025 featured a dedicated Fintech Track, covering digital banking, blockchain applications, and AI in finance.
Insurtech Insurtech companies use AI, data analytics, and digital channels to improve the insurance experience. AI and Machine Learning : Used for credit scoring, frauddetection, chatbots, and personalised recommendations. It democratises investing by lowering fees and entry barriers. Essential for open banking.
The gambling industry’s experience with frauddetection and real-time risk assessment again becomes is valuable and available within cloud technology. This necessity has pushed cloud architecture toward true redundancy rather than theoretical compliance. Cloud also provides rapid recovery often near real time.
Generative AI (GenAI) is emerging within this dynamic environment as a technology that can significantly improve efficiency, frauddetection, and customer engagement. This is where Agentic AI comes in, taking GenAI to the next level by enabling intelligent process automation.
Both UK-based and overseas companies can be prosecuted if the fraud occurs in, or targets victims in, the UK. Covers a wide range of frauds, including false representation, failure to disclose, false accounting, fraudulent trading, and cheating the public revenue.
Strengthen Fraud Prevention Measures Implement robust frauddetection and prevention systems to minimize the occurrence of fraudulent transactions. Use address verification, CVV checks, and fraud scoring models to identify potentially fraudulent orders.
Salesforce also offers powerful automation tools, customizable workflows, and Artificial Intelligence (AI)-driven analytics that help businesses streamline operations, personalize customer experiences, and make data-informed decisions.
“With Apiture as our partner, we will elevate their digital banking experience through capabilities like peer-to-peer payments, real-time frauddetection, robust business entitlements, and Positive Pay. We are thrilled to work with this forward-thinking solution provider.”
Founded in 2015, EverC offers a fully-automated, AI-driven, cross-channel risk management platform that helps drive growth for innovators in the online seller ecosystem. Financial institutions will be required to assess “concentration risk” when outsourcing critical or significant operations to external vendors.
Home Announcements Identity Experian integrates Mastercard ID verification and fraud prevention tech External This content is provided by an external author without editing by Finextra. Mastercards Identity Insights enriches Experian’s data by verifying and connecting identity elements, aiming to validate individuals authenticity.
It offers a cloud-based platform for AI-driven data extraction and workflow automation. Product Main feature G2 rating Free trial Pricing Total score* 1 Rossum Cloud-based AI platform for data extraction 4.4/5 2 Nanonets 98% data accuracy with AI and highly customizable workflows 4.8/5 5 No Custom pricing 43.8
AI, automation, and embedded insurance are just some of the technologies driving change in everything from underwriting and claims to customer engagement, leading many industry firms and leaders to rethink their approach. AI-powered chatbots have also evolved significantly. Here’s what they had to say.
Mastercard has adopted generative artificial intelligence (AI) techniques to strengthen security measures for consumers and the broader payments network. The introduction of generative AI technology marks a major step up, enabling the analysis of over one trillion data points to predict the authenticity of transactions.
Swift, the global financial messaging cooperative, has announced two AI-driven experiments in collaboration with member banks to combat cross-border payments fraud which could potentially save the industry billions in fraud-related costs. Fraud cost the financial industry US$485 billion in 2023.
In many realms of businesses, machine learning (ML) and artificial intelligence (AI) have yielded powerful tools to manage such complex matters. percent of organizations in this sector currently use AI, according to PYMNTS’ latest research. Yet, these advanced computational systems have a long way to go in healthcare administration.
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