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Payment giant Visa is set to acquire Featurespace, a company specialising in artificial intelligence (AI) technology for real-time payments fraud protection. Founded in 2008 at Cambridge University, Featurespace has developed AI-driven algorithms that can detect complex fraud patterns in transaction data.
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. .
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 an industry facing an extreme talent shortage, combined with rapidly evolving technology, Artificial Intelligence (AI) agents should be a top priority for all accounting departments to evaluate this year. But what exactly are AI agents, how can you use them, and what are the benefits? What are AI Agents? Lets dive in!
The Monetary Authority of Singapore (MAS) has committed an additional S$100million to support the development of quantum and artificial intelligence (AI) technologies in the financial sector. Nevertheless, the level of AI-readiness and adoption varies across financial institutions in Singapore.
These tokens are useless if intercepted, significantly mitigating the risk of data breaches. Additionally, orchestration platforms deploy AI-powered frauddetection tools to analyse real-time behavioural data, enabling them to flag suspicious activity proactively. This supports robust riskmanagement strategies.
Furthermore, the report takes a forward-looking approach, incorporating forecasts for 2025 and exploring pivotal themes such as artificial intelligence in payments, the evolution of tokenisation and decentralised finance (DeFi), and the adoption of emerging technologies like blockchain, generative AI, and machine learning.
In this article, we’ll discuss what SaaS companies looking to become payment facilitators need to know about riskmanagement strategies. PayFacs handle risk assessment, underwriting, settling of funds, compliance, and chargebacks which exposes them to greater potential risks.
Continued investment in innovative frauddetection technologies and adaptive regulatory frameworks is essential to stay ahead of evolving financial crime threats. Key findings reveal that fraud remains the foremost concern, with identity fraud being the most common type encountered.
Artificial Intelligence (AI) has dominated discussion across all fintech sub-sectors for at least the last couple of years and continues to do so. With this in mind, it only makes sense that we delve into the impact that AI has had on the embedded finance space as part of our April monthly theme.
to support the development of quantum and AI technologies within the financial sector. In parallel, MAS is enhancing the existing AI and data grant scheme under FSTI 3.0 to support the progressive adoption of AI technologies. Additionally, MAS will develop AI platforms to address industry-wide use cases.
The transition from traditional banking to digital platforms has streamlined how banks manage finances, delivering convenience and speed directly to customers’ fingertips. But now, the industry is moving beyond digital adoption and into an AI-driven era. At first, real bankers did the streaming.
According to a Forrester survey, 98% of financial institutions believe that AI and ML can give them an edge and improve how they do business. This article explores the case for integrating AI into your finance function, the route to achieving it, and how your business can step change as a result. AI can help mitigate these issues.
6 Fintech Unicorns in Singapore Singapore’s fintech unicorns consist of companies spanning diverse verticals, including digital payments, insurtech, blockchain and AI-driven finance. Company Valuation ($) Segment Advance Intelligence Group 2 billion AI-driven fintech and digital lending bolttech 2.1 billion payments Coda 2.5
“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.
If you think of Garry Kasparov as the first chess Grandmaster to be beaten by AI - IBM's Big Blue - you only know half the story. He caps a program with more than 70 sessions on AI, analytics, machine learning, cybersecurity, frauddetection and riskmanagement.
US-based Oscilar , a provider of AI-driven riskmanagement solutions, has released AI-powered ACH frauddetection amid a rapid growth in ACH transactions.
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.
The paper entitled How to Solve Banks’ Legacy System Challenges While Controlling Risk suggests that this unnecessary expense is hindering innovation and digital transformation and presents a groundbreaking AI-enabled solution that allows banks to modernize without excessive risk.
While many companies choose to certify select principles, Antom has achieved full compliance across all five criteria for its payment processing service, further making it stands out as an industry leader in secure, AI-driven payment technology. Built-in fraud protection prevents e-wallet account takeover risks.
From the widespread use of AI and crypto in SMB payment systems to growing consumer appetite for real-time earned wage access (EWA) and biometric payments,Marqetassixth annual State of Payments report reveals that the UK is redefining both how money moves and what consumers expect from payments.
With rapid digital adoption, evolving regulations, and AI-driven innovations, the region is at the forefront of global fintech growth. From advancements in digital banking and blockchain to AI-driven finance and cybersecurity solutions, these events cover the full spectrum of fintech innovation. billion in 2025 and surge to USD $359.83
Leveraging artificial intelligence (AI) technology, PhotonPay has further streamlined anti-money laundering (AML) and counter-terrorism financing (CFT) processes, enhanced its riskmanagement system and effectively reduced financial crime risks. “Compliance is the foundation of trust in global payments.
In rapid, seven-minute slots, companies showcased solutions spanning AI-powered cybersecurity, digital banking transformation, embedded finance and next-generation authentication. CyberUpgrade introduced its AI-powered cybersecurity co-pilot, addressing growing threats against financial institutions. There were some deviations though.
Visa announced the expansion of its value-added services by introducing three new AI-powered solutions aimed at bolstering fraud and risk prevention. The Protect suite is among nearly 200 products under Visa’s portfolio, covering critical areas such as Acceptance, Advisory, Issuing, Open Banking, and Risk and Identity.
AI is , transforming the finance sector, especially in financial planning and analysis (FP&A). Why Should FP&A Leaders Consider to Integrate AI? FP&A leaders experience , significant advantages when they embrace AI. Top 8 AI Uses in Finance AI/ML can enhance FP&A operations in many ways.
The EU Parliament approved the Artificial Intelligence (AI) Act today. It’s no secret that AI is a double-edged sword. However, delineating the boundaries of AI’s applications and capabilities is challenging. This will impact how banks and fintechs use AI for customer interactions, underwriting, and frauddetection.
Integrating AI and automation into the underwriting workflow presents a significant opportunity to minimize the time allocated to administrative tasks, manual processes, and repetitive data entries. In addition, AI can help insurance firms evaluate risk with high accuracy by analyzing large volumes of data.
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. A large company has exposure if an 'associate' commits a relevant fraud offence for the company's benefit. What’s next?
The technology's usefulness for frauddetection is clear, but there are other areas where AI can have an impact. Artificial intelligence is steadily making its way through the payments and financial services world.
Ant International has launched its new artificial intelligence platform, Alipay+ GenAI Cockpit, as part of a broader AI strategy aimed at helping fintech companies and super apps develop more secure and efficient financial services. It is compatible with multiple cloud environments, including those powered by partners like Google Cloud.
In a rapidly evolving financial services industry, Alexandra Mousavizadeh , Co-Founder and CEO of Evident , is steering the company to the forefront of Artificial Intelligence (AI) transformation in banking. Evident , a benchmarking and intelligence firm, specialises in authoritative, data-driven insights on corporate AI adoption.
Last year I predicted that artificial intelligence (AI) would grow up , with major infrastructure developing around Responsible AI , AI advocacy and AI governance. These and other milestones have come to pass, pushing enterprise-scale AI solidly into the “early adoption” phase, as defined by “Chasm” author Geoffrey Moore.
Taking this retroactive approach to credit riskmanagement was never efficient, but it has become even less feasible amid the pandemic. Consumers are more susceptible than ever to falling short on their monthly bills, leaving banks searching for more proactive ways to mitigate the risk of defaults.
The banking industry is shifting towards innovation, collaboration and customer-centricity, driven by the adoption of technologies including cloud computing, data analytics, artificial intelligence and machine learning (AI/ML), changing customer preferences, and a rapidly evolving regulatory landscape, a new report by Amazon Web Services (AWS) says.
AI is transforming compliance in financial services, offering efficiency gains while introducing new risks that demand robust governance. Artificial intelligence (AI) is no longer a futuristic concept. This includes a high concentration in anti-money laundering (AML), frauddetection, and client onboarding.
The emergence of generative artificial intelligence (AI) represents a pivotal moment in the technological evolution, significantly altering the digital financial services landscape in the Asia Pacific region. Here are five real-world applications of generative AI in Asia. trillion to US$4.4
It highlights how innovation, regulation, AI, and riskmanagement are shaping the future of payments and impacting business models. How is AI being operationalised in your payments ecosystemand what are the practical limits? He stressed that AIs effectiveness hinges on deep contextual understanding.
In finance, AI’s role is becoming increasingly pivotal, particularly in fraud prevention and management. As digital banking services grow in popularity, the unfortunate byproduct is a corresponding rise in fraud. This trend underscores the question: Can AI truly integrate into the financial sector effectively?
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.
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.
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