Using AI technology in anti-money laundering (AML) processes has become critical for financial institutions as they work to comply with regulations and combat financial crime. Even so, a new AML technology study from data and AI leader SAS, featuring contributions from SAS Partner KPMG, finds that interest in AI continues to outpace its full implementation. Based on a global survey of 850 members of the Association of Certified Anti-Money Laundering Specialists (ACAMS), the study reveals:

Adoption of AI and machine learning (ML) remains modest. Only 18% of survey respondents report having AI/ML solutions in production. Another 18% are piloting AI/ML solutions, while 25% plan to implement AI/ML in the next 12-18 months; 40% have no current plans to adopt AI/ML. Interest in generative AI technology is robust but seemingly cautious. Nearly half of respondents say they are currently piloting GenAI (10%) or are in the discovery phase (35%) – no small amount for an emerging technology. Still, that leaves 55% with no plans to adopt GenAI.

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Having navigated the coronavirus pandemic’s disruption, the banking industry faces a new era of volatility and uncertainty. Soaring interest rate and liquidity risks have toppled eight banks since 2023. Credit risk looms large amidst geopolitical tensions and the squeeze of inflation. Regulatory change and complexity abound. To effectively confront the mounting challenges, a global risk management survey from FT Longitude and data and AI leader SAS reveals that:

75% of banks intend to increase investment in risk technology infrastructure (up from 51% in 2021). 64% plan to augment spending on third-party software (vs. 43% in 2021).

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SEON, the leader in digital fraud prevention and compliance, has on 5 March announced the release of its 2025 Digital Fraud Report, a global fraud, risk and compliance trend survey highlighting fraud prevention strategies, benchmarking efforts and emerging trends shaping 2025. Culled from insights from 574 decision-makers and strategic leaders across financial services, fintech, payments, eCommerce and iGaming, the report highlights rising fraud prevention spending and strategic team expansion to counter increasingly sophisticated AI-driven fraud threats.  Continue reading…

Eunice, an AI fintech company solving B2B challenges in crypto, has launched the MiCA Whitepaper Library, an AI-powered solution designed to simplify compliance with the Markets in Crypto-Assets Regulation (MiCA). The platform streamlines the whitepaper process for crypto projects and exchanges, reducing operational burdens and helping avoid the risk of delisting in Europe. Eunice has partnered with CMS, a top-tier law firm with extensive expertise in EU law, to provide legal opinions where needed. Continue reading…

For nine years, Risk in Focus has been the trusted resource for internal auditors to shape their risk assessments, annual plans, and audit strategies. The 2025 report reveals a fast-approaching wave of digital disruption, AI advancements, and interconnected risks like never before. Continue reading…

In the past month, Rupert Bedell (CEO at Fasthosts) and Georges-Olivier Reymond (Co-founder and Co-CEO at Pasqal), commented on the UK Government AI Opportunities Action Plan. Rupert addresses the critical role data centres play in realising the plan’s ambitions and the importance of embedding sustainability into this infrastructure. Georges-Olivier discusses that, whilst the plan holds promise, it raises concerns about its underlying infrastructure as quantum computing is notably absent from the discussion. You can find the full comments from them below. Continue reading…

According to new research from Quantios, the trust and company service provider (TCSP) sector is split when it comes to AI. Only 53% of companies are either actively implementing AI solutions or developing an AI strategy. This leaves 47% of firms potentially lagging behind in their digital transformation journey. As demand for innovation soars, the pressure to invest in cutting-edge technology is mounting. Nearly a quarter (24%) of respondents agree that client digital expectations have grown this year, compared to only 9% last year – the biggest increase since Quantios began its research.  Continue reading…

by Hassan Zebdeh

Trade-based financial crime (TBFC) is one of the most insidious threats to global finance. This shadowy practice has been plaguing international trade for years, perhaps as long as modern trade itself has existed. It’s the biggest fraud most people never heard of, quietly siphoning away trillions under the radar of even the most vigilant regulators. Continue reading…

by Ajay Katara

Large financial institutions (LFI), defined as firms with $100 billion or more in assets, are supervised to enhance their resilience and reduce the likelihood of failure. This oversight also aims to limit the broader economic and financial system impact if such a firm experiences failure or significant weakness. Large banking organisations are classified into four categories, each with distinct regulatory requirements. Continue reading…

The Financial Stability Board (FSB) has on 14 November published The Financial Stability Implications of Artificial Intelligence, a report outlining recent developments in the adoption of artificial intelligence (AI) in finance and their potential implications for financial stability. Widespread adoption and more diverse use cases of AI have prompted the FSB to revisit its 2017 report on AI and machine learning in financial services. Financial firms currently use AI mainly to enhance internal operations and improve regulatory compliance, but generative AI (GenAI) and large language models have given rise to new use cases, such as document summarisation, information retrieval, and code generation. Continue reading…