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The fintech unicorns in Asia are moving to reshape the very fabric of how people and businesses interact with money. Out of the unicorns worldwide valued at a combined $4 trillion , a rising share are coming out of Asias fast-moving fintech ecosystem. These include two decacorns from India and China, each valued at over $10 billion.
In this article, we cover the developments between Agentic AI in fintech and possible use cases, giving a glimpse into how financial services could look like in the near future. In fintech, this means AI systems that dynamically manage credit risk, automate trading decisions, and even preemptively block fraud, all without human intervention.
For example, among banks that have implemented GenAI, 88% have seen improvements in riskmanagement and compliance, and 85% report time/cost savings. Indeed, 64% of finance leaders report using AI for frauddetection and riskmanagement in their institutions. These are significant positive outcomes.
Fintech is transforming financial services across Asia at an unprecedented pace. With rapid digital adoption, evolving regulations, and AI-driven innovations, the region is at the forefront of global fintech growth. The Asia-Pacific fintech market is projected to reach USD $171.32 billion in 2025 and surge to USD $359.83
Filip Berlikowski CTO, Payall "RT2’s real-time capabilities and ISO 20022 structured data will transform UK payments—enabling immediate frauddetection, reducing false positives, and turning compliance into a competitive edge. Democratised access will foster fintech-bank collaboration, driving innovation.
Welcome to the Fintech Review guide , our definitive source for everything fintech. Over the years, weve covered a broad range of fintech topics from digital banking to decentralised finance , regtech , green fintech , and more. What Is Fintech? At its core, fintech challenges the status quo.
Yet many financial institutions, fintechs and businesses haven’t fully grasped its implications. It also requires a fundamental shift in riskmanagement. Instead of evaluating individual transactions at the point of sale, financial institutions must now assess and managerisk at the moment of token provisioning for AI agents.
Founded in 2012 and headquartered in London , Checkout.com offers full-stack payment solutions that serve some of the largest e-commerce, fintech, and digital companies in the world. With a valuation once reaching $40 billion, Checkout.com became one of Europes highest-profile fintech success stories, even amid broader market corrections.
Table of Contents Voices from the industry: Insights into the 2024 payments landscape In 2024, we witnessed a convergence between consumer and B2B payments, driven by the rise of BNPL adoption, AI-powered frauddetection, and the continued digitalisation of payment platforms.
The Ultimate Guide for Founders, CFOs, and Finance Teams Choosing the right fintech stack can make or break a company’s financial operations. Whether you are a B2B founder building a global marketplace, a CFO steering a SaaS scale-up, or a finance team tasked with managing complex payments, finding the best fintech tools is critical.
If you haven’t heard, 2025 is the year of fintech spring. The chill has been taken out of the industry as investors regain confidence, new startups can launch with less risk, and established players are doubling down on new technologies to meet evolving customer demands. Register today to get a discount and secure your spot!
Continued investment in innovative frauddetection technologies and adaptive regulatory frameworks is essential to stay ahead of evolving financial crime threats. They will also need to proactively collaborate to capitalise on cumulative knowledge and intelligence to prevent, detect and respond to financial crime.
“Implementing comprehensive riskmanagement strategies and diversifying technological dependencies are essential steps to mitigate the impact of unforeseen incidents, thereby maintaining the stability and reliability of payment systems. ” AIs impact on fintech this year is undeniable.
.” Fraudrisks rise as limits increase Ryta Zasiekina, founder of payments firm CONCRYT While the potential for greater convenience is clear, Ryta Zasiekina, founder of payments company Concryt, warns that higher contactless limits could make fraud prevention more challenging.
As fintech spring continues to evolve and the sector matures to adapt to shifting dynamics, last quarter–the second quarter of 2025–delivered. The Swedish fintech not only launched a Visa-backed debit card, but also announced a $40-per-month mobile plan in the US that leverages AT&T’s mobile network.
Marcin Glogowski, head of international, Marqeta, said: From real-time wages to AI-led frauddetection, were seeing a convergence of innovation that puts the UK at the forefront of financial infrastructure modernisation. The data signals that intelligent payments are becoming embedded in mainstream infrastructure.
They can also offer additional services like frauddetection, chargeback management , and analytics. They serve larger enterprises and high-volume merchants who require custom processing solutions and high-level riskmanagement. Nearly 30% of U.S.
For the first time, any company—fintech or not—can build and launch their own global financial products using the same infrastructure that powers AstroPay’s consumer wallet. This process takes years and requires significant capital investment before generating revenue – a timeline that has limited fintech innovation.
It also strengthens frauddetection and riskmanagement through AI-powered scoring and real-time monitoring, minimizing chargebacks while ensuring compliance with evolving regulations. The post New RS2 Whitepaper Reveals How Legacy Systems Are Stifling Bank Innovation appeared first on FF News | Fintech Finance.
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. Meaning that you are hardcoding these risks in the fabric of your organisation.
Unlike traditional frauddetection, ScamALert uses a multimodal model, analyzing text, images, and transaction data in real time to detect scams before they happen. In addition to delivering fast, accurate risk assessments, ScamAlert offers actionable advice, helping users avoid falling victim to scams.
On the risk and operations side, common uses include frauddetection, anti-money-laundering pattern detection, credit risk scoring and trading optimization. finance leaders cite fraud and riskmanagement as areas in which they use AI. Use Cases and Impact U.S. About 64% of U.S. Challenges U.S.
Principal Consultant Oracle Location Edison Followers 2 Opinions 8 Follow Unfollow The global banking sector has made substantial investments in Artificial Intelligence (AI), driven by the promise of enhanced operational efficiencies, sophisticated frauddetection capabilities, and hyper-personalized customer experiences.
Initially, APIs were point-to-point connectors to enable simple integrations; with rapid innovations, they have now matured into a foundational layer supporting a wide range of use casesfrom customer onboarding and loan origination to card issuance and frauddetection.
.” “Over the next three years, that innovation will be driven by AI and machine learning, with financial institutions increasingly using cloud to power frauddetection, riskmanagement, data analytics and generative AI.” Return on investment is increasingly viewed through a strategic lens.
For the first time, any company—fintech or not—can build and launch their own global financial products using the same infrastructure that powers AstroPay ’s consumer wallet. This process takes years and requires significant capital investment before generating revenue – a timeline that has limited fintech innovation.
Modern regulations require granular transaction tracking, real-time risk monitoring, and comprehensive audit trails—capabilities that legacy architectures often lack without significant workarounds. Legacy ETL processes and batch-oriented data flows cannot support the analytical requirements of contemporary financial products.
Fintech compliance is an increasingly important aspect of the financial industry. As the fintech industry continues to grow and evolve, so do the demands for regulatory compliance. The post PhotonPay Enhances Global Payment Solutions with Robust Compliance and Risk Solutions appeared first on FF News | Fintech Finance.
Benefits and challenges of AI and embedded finance While it is true that AI investments have led to enhanced frauddetection, riskmanagement, and the hyper-personalisation of customer offerings. Forge strategic fintech partnerships: Collaborate with fintech firms to accelerate innovation and optimise resource allocation.
Most importantly, your fellow fintechs are moving fast. Focus on compliance, security, and riskmanagement Payments are sensitive. That’s why you must meet regulatory requirements and protect your customers from fraud. So, you should choose a payment platform that has built-in frauddetection and risk scoring.
For the first time, any company—fintech or not—can build and launch their own global financial products using the same infrastructure that powers AstroPay’s consumer wallet. This process takes years and requires significant capital investment before generating revenue - a timeline that has limited fintech innovation.
An expanding suite of specialised AI agents designed to support key areas such as integration, riskmanagement, intelligent customer service, success rate optimisation, and merchant onboarding. Multi-Party Computation (MPC)-based AI riskmanagement and mobile device security system ensure every transaction is secure.
The findings show that it’s technically possible, but with significant challenges surrounding frauddetection, data sharing, and usability. Meanwhile, startups and fintechs have a window of opportunity to innovate. Offline value transfers must be framed within defined risk tolerance levels and frauddetection capabilities.
Finovate brought the fintech world to life with its signature live demos, capturing a snapshot of the industry’s latest developments. Day 1: Demos in action A defining feature of Finovate events, the live demonstrations on day one provided an unfiltered look from companies representing 13 countries at fintechs latest innovations.
Professional distribution ranges from emerging fintech companies to major multinational financial institutions across 33 countries. This reflects the growing influence of fintech companies, payment processors, and alternative financial service providers in shaping industry perspectives on financial crime prevention.
For payments leaders, this means that payments can no longer be separated from credit, insurance, and wealth management propositionsembedded finance is shifting from theory to reality, with data flows underpinning product innovation and customer engagement. Hyper-personalised financial management is emerging as a competitive differentiator.
The Fintech Times recently caught up with Cao to discuss how banks are adapting to this shift and what it really means to do AI in finance. Turning AI into practical solutions Cao was clear that AI is no longer just an experimental tool; it is already embedded in many banking functions, from customer service to riskmanagement.
LEAP 2025 featured a dedicated Fintech Track, covering digital banking, blockchain applications, and AI in finance. Fintech innovations and regulatory developments Another panel explored AI-powered financial solutions and emerging blockchain use cases.
It highlights how innovation, regulation, AI, and riskmanagement are shaping the future of payments and impacting business models. Achi added a historical perspective, recalling the early days of fintech. When the first wave of fintech came through, it was all about the technology. Why is it important?
Enhanced frauddetection ensures security, while alternative data expands accessibility, especially for those with limited credit history. Big data analytics transforms loan management, guiding strategic planning. Predictive analytics forecasts borrower behavior and market trends, enabling proactive riskmanagement.
Afterpay is using big data and AI to ensure a smooth user experience and improved riskmanagement. PayPal’s BNPL solution, Pay in 4, incorporates sophisticated fraud prevention technology and machine learning models to assess creditworthiness quickly.
Omar Salem Financial regulation and fintech partner, Fox Williams "Post–31 March 2025, the UK regulator is focused on supervision and in the future may hold firms, and potentially individuals, accountable for operational resilience breaches. The PSR has consulted on an interim cap for CNP consumer debit transactions at 0.2%
From a Press Release dated July 29, 2025, New York, New York Taktile has announced the winners of its inaugural "Top Voices in Risk ’25" awards, which honor individuals redefining riskmanagement in the financial services sector.
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