Card Fraud

Enhancing Compliance and Customer Experience for PSPs

Alyssa Iyer | Head of Product – AML

Empowering PSPs with Comprehensive Strategies for AML 

The Compliance Challenge for Payment Service Providers

Just as a busy highway needs efficient traffic management to prevent congestion and accidents, the world of digital payments requires robust compliance measures to ensure safe passage from sender to receiver. Payment service providers (PSPs) are at the forefront of this financial ecosystem, facilitating transactions across borders in real time. However, their role as intermediaries also makes them prime targets for illicit financial flows, including money laundering, sanctions evasion, and terrorist financing. Criminals exploit the speed and accessibility of digital payments to launder money and move funds undetected. Regulators are increasing their scrutiny on PSPs as well, with the UK Financial Conduct Authority’s (FCA) recent “Dear CEO” letter emphasizing the need for payments firms to bolster their AML and sanctions controls. Non-compliance can lead to severe penalties, reputational damage, and even regulatory intervention. To navigate these challenges, PSPs need adaptable AML screening solutions that effectively identify and mitigate risks in proportion to their exposure while ensuring a smooth customer experience.

Challenges in Detecting High-Risk Customers and Payments

Understanding the regulatory landscape is critical for PSPs, and these challenges are at the forefront of their compliance strategies:
  1. High Transaction Volumes: PSPs process millions of transactions daily, making manual AML checks impractical and prone to error.
  2. Evolving Sanctions and Watchlists: Global sanctions lists and politically exposed person (PEP) databases are constantly changing, requiring real-time updates.
  3. False Positives and Operational Overhead: Rigid compliance systems apply generalized approaches, generating high volumes of false positives, thus increasing investigation time and compliance costs.
  4. Cross-Border Transactions: Payments spanning multiple jurisdictions must comply with varying regional regulations, complicating AML processes.
  5. Criminal Innovation: Criminals continuously refine tactics to exploit PSPs, requiring solutions that adapt and evolve with emerging threats.
Recognizing these challenges is essential for PSPs aiming to enhance their compliance framework. To address these pressing issues and elevate compliance strategies, Lynx AML Screening provides key capabilities that redefine how PSPs manage financial crime risks.

Lynx AML Screening: A Smarter Approach to Compliance

Lynx AML Screening is an advanced AI-powered solution that enables PSPs to detect and prevent illicit transactions while ensuring a frictionless payment experience for legitimate customers. Our platform is designed to address the unique compliance challenges of payment providers through:

Real-Time Payment Screening for Proactive Risk Mitigation

  • Monitors both senders and beneficiaries in real-time and in batch to detect high-risk entities.
  • Provides instant transaction-level risk assessment, allowing firms to block suspicious payments before they are processed.
  • Handles large-scale, high-speed transactions with millisecond-level response times.

Customer Screening for Secure Onboarding and Ongoing Monitoring

  • Conducts thorough AML checks on new customers against global sanctions, watchlists, PEP databases and internal lists.
  • Allows custom rescreening triggers, aligning updates with the organization’s risk appetite to prevent unnecessary alerts.
  • Uses AI to intelligently apply the most optimized Natural Language Processing (NLP) algorithms for name scoring, driving down false positives.

Advanced Watchlist and Workflow Management

  • Configurable rule builders tailor screening to geography, product, and customer risk, pinpointing risk effectively and proportionally.
  • A no-code interface enables business users to modify screening rules in real time without IT or vendor reliance.
  • An intelligent workflow manager automates case assignments based on your specific processes and priorities, streamlining operations and eliminating the need for manual task allocation.
  • Real-time Key Performance Indicator (KPI) dashboards provide compliance teams with full operational visibility.

Seamless API Integration for Rapid Deployment

  • Our cloud-native platform integrates effortlessly into existing PSP workflows via a two-way API.
  • Fully compatible with ISO 20022, aligning with global payment messaging standards.

Aligning with FCA AML Priorities for Payments Firms

The FCA has emphasized the need for payments firms to strengthen their financial crime controls. Lynx AML Screening helps PSPs align with these regulatory expectations by implementing robust sanctions screening, enhancing transaction monitoring to spot suspicious patterns indicative of money laundering, and ensuring effective governance and oversight with audit trails and detailed compliance reporting. Additionally, Lynx offers flexible, configurable watchlist management, allowing firms to apply controls that are proportionate to the nature, scale, and complexity of their business and the risks to which they are exposed. By minimizing operational disruption through automated and scalable AML processes, Lynx enables PSPs to maintain compliance efficiently while delivering value for their customers.

Future-Proof Your Compliance Strategy with Lynx

With regulatory scrutiny on the rise and financial criminals becoming more sophisticated, PSPs must invest in AML solutions that deliver both compliance and operational efficiency. Lynx AML Screening empowers payment providers to stay ahead of regulatory changes, prevent financial crime, and build trust with customers and regulators alike. As the digital landscape evolves, so too must our strategies for compliance. Lynx AML Screening offers PSPs the tools to not only comply but thrive, fostering trust and security in a fast-paced world. Stay compliant. Stay secure. Protect your business with Lynx AML Screening. Take the Next Step in Strengthening Your Compliance Strategy Transform your risk management and compliance operations with Lynx AML Screening. Explore real-world insights into AML risks and mitigation strategies for payment providers in our latest collaboration with Fintrail. DOWNLOAD the Fintrail White Paper WATCH the Webinar Recording If you’re ready for a deeper conversation after reviewing the insights, our team is here to help.  

Lynx Fraud Prevention Wins Top Spot at FSTech Awards

The Mercurial Fraud and Financial Crime Landscape

Financial institutions (FIs) grapple with complex, interconnected fraud and financial crime challenges. Real-time payment channels and transactions facilitate seamless economic activity and enhanced customer experiences but also bring real-time threats. Organized crime groups target FIs and their customers, adapting attack methods across payment channels to bypass fraud detection systems, with authorized push payment fraud (APPF), account takeover (ATO) fraud, and AI-enabled deep fake scams. The scale and volume of fraud are enormous: global fraud losses exceeded $485 billion in 2023, with $3.1 trillion in illicit funds flowing through the global financial system. Static and inflexible fraud prevention solutions are no longer sufficient. Adaptable, real-time fraud detection is essential for FIs facing mercurial real-time threats.

Staying a Step Ahead of Fraudsters with Daily Adaptive Models and Lynx Flex

Lynx’s award-winning Fraud Prevention Solution is powered by Daily Adaptive Models (DAMs), machine learning models that update daily with the latest transaction and fraud data to deliver highly accurate real-time detection even as payment methods and fraud patterns change. DAMs analyze hundreds of thousands of data points in milliseconds, enriching transactions with proprietary feeder data from onboarding and customer accounts for a comprehensive view of transactions, channels, and users. Trained using supervised machine learning algorithms, our models learn from prior fraud cases for enhanced detection accuracy with fewer false positives. DAMs are highly flexible and configurable to meet the ever-evolving fraud landscape, tailored to each FI’s transaction environment and risk appetite for optimized risk scoring. Lynx Flex empowers FIs to add new payment channels in under 60 minutes, propagating new data fields to models, rules, and reports for comprehensive multi-channel fraud detection. The results are clear. Our clients, including Santander UK, Cielo, and BCP Peru, experience an average 80% Fraud Value Detection Rate (VDR) at fewer than 10 false positives per 10,000 transactions, and 99.99% of transactions are processed in ~50ms*. Lynx’s speed, accuracy, and flexibility drive millions in fraud savings annually per institution.

Customer Success Founded on Dedication, Trust, and Collaboration

Technology is only successful with the right group of people to develop, utilize, support, and adapt it. Lynx’s market leadership in fraud prevention is rooted in both artificial intelligence and human intelligence: innovative AI models paired with a dedicated, collaborative team of industry and academic experts in AI and fraud prevention. The Lynx team works closely with customers to develop partnerships founded on trust, addressing their most pressing challenges. Whether we’re addressing emerging fraud threats for issuers, acquirers, retail banks, or corporate and investment firms, we take a hands-on approach to deliver tailored and comprehensive real-time fraud detection across key channels for each company.

Pioneering the Future of Fraud and AML, Together

Looking to the future, Lynx remains dedicated to developing cutting-edge AI technologies that safeguard global financial services. We will continue to address real-time threats with real-time detection- from fraud prevention to financial behavior analysis for money mule detection to AI-powered AML name screening -informed by customer trust, transparency, and partnership. As we build towards our pioneering vision of an integrated fraud and AML platform, we’re honored to work alongside exceptional global organizations who are protecting the integrity of the global financial system. Together, we will revolutionize the fight against financial crime.  
* Known performance where connection is TCP/IP socket and the solution is on-premise

Tackling Fraud in 2025

In the first half of 2024, criminals stole £571 million in the UK through unauthorised and authorised fraud — a stark reminder that existing fraud prevention methods are failing to keep pace. The scale and sophistication of fraud in the UK, and around the world, is rapidly rising, but what isn’t rapidly rising is banks’ abilities to stop criminals in their tracks. Despite the £710 million in unauthorised transactions thwarted during this same period of 2024, , the amount of fraud that was able to leave victims’ bank accounts is shocking. The introduction of regulations like PSD2 and Strong Customer Authentication forced fraudsters to adapt their tactics. This led to a significant shift towards social engineering, exploiting customers’ trust on their own devices, directly resulting in the surge of Authorized Push Payment (APP) fraud. The ease with which criminals can now target victims on their trusted devices, combined with the rise of sophisticated AI tools, has made these attacks significantly more difficult to detect. Whether the scammer befriends the individual through a lengthy romance scam, perhaps asking them to send money to support a sick family member masquerading under a fake profile on a social media app selling tickets, scammers are looking to impersonate ‘someone trusted’ for a direct bank transfer. Artificial Intelligence (AI) has been a game changer for criminals here, turning easy to spot scams into deep, complex layered social engineering attacks.

AI is in the pockets of criminals

Criminals are using AI to create incredibly realistic and convincing fake profiles online. The technology is leveraged to create photo-realistic identities, communicate in any language and develop personalised messages used for manipulation. This sophisticated use of AI renders traditional methods of detecting fake profiles largely ineffective, making it unrealistic to rely solely on end users to identify and prevent these attacks. Deepfake technology can make calls appear authentic, presenting criminals as the individuals they are impersonating. Five years ago, if you were speaking to a friend who had met someone online but never spoken to them on the phone or met them in person, concerns would be raised. Today, scammers speak to their victims on the phone and on video calls, nurturing deep, intimate relationships over months, or even years. The AI technology they use can enable them to bypass identity verification processes. They may employ techniques such as “injection stream attacks,” which involve inserting malicious data or code to deceive systems into accepting fraudulent inputs. Or they might use straightforward methods, like a phone app, to alter their appearance and resemble someone else. The technology also enables criminals to have more time to scale operations and scam hundreds, even thousands, of individuals at the same time. These AI-generated interactions make it even easier to build emotional connections online, often leading victims to trust and eventually send money to scammers. Banks are now mandated to pay victims back up to £85,000 but for fraudsters, this is a win, win. Not only is committing these crimes relatively easy, but criminals also know victims are likely to recoup their losses, leaving financial institutions to bear the brunt of the financial burden.

Adapting new models to tackle fraud

To date, banks have typically used static fraud prevention models, which are trained once and then used for a long period of time without being updated. This approach is limited as they are unable to keep up with an ever-changing fraud pattern, which criminals know and rely on. Banks need to evolve and find new ways in which they can fight the fraudsters. With Daily Adaptive AI-driven Models, financial institutions can monitor spending behaviours and identify suspicious activity, keeping one step ahead of the scammers. By analysing hundreds of thousands of data points – from the location of the receiving bank account to the erratic nature of the payment made in an app – Daily Adaptive Models can identify and prevent fraudulent transactions in less than a second. The rapid evolution of fraud tactics necessitates a paradigm shift in fraud prevention. Static models are no longer sufficient. Daily Adaptive AI-driven models offer real-time detection capabilities, analyzing hundreds of thousands of data points to identify and prevent fraudulent transactions in less than a second. To effectively combat AI-driven fraud, financial institutions must adopt AI-powered solutions that continuously learn and adapt, keeping them one step ahead of the ever-changing landscape of financial crime.

From Cost Center to Revenue Generator

Alyssa Iyer | Head of Product – AML

The first panel at FINTRAIL’s FFECON dived into the challenges of managing financial crime in an integrated ecosystem, shedding light on key strategies and considerations for fintechs and financial institutions (FIs) alike. The discussion underscored how the proliferation of financial products and the deepening collaboration between FIs and fintechs have enhanced user experiences but simultaneously introduced new risks that bad actors may exploit. With multiple entities involved in a single transaction, transparency can be compromised as crucial data gets lost along the way. By the time a payment reaches it, an acquirer may lack the necessary details to determine its legitimacy, making it highly dependent on upstream fintechs and banks. This blog post explores how fintechs can shift their compliance mindset from being costly to strategically advantageous, leveraging strong AML and fraud prevention controls to build trust, scale efficiently, and enhance business opportunities.

This growing complexity in the payments ecosystem creates a difficult dilemma for payment acquirers: should they continue processing transactions that could be fraudulent and risk their reputation, or should they sever ties with entities that shift the burden onto them? The rise in scams and money mule activities makes it imperative for fintechs, payment service providers (PSPs), and banks to assess potential vulnerabilities before entering partnerships. Banks, in particular, need to evaluate fintechs and PSPs to understand the risks introduced by their products and take necessary mitigating actions. Conversely, fintechs have a significant opportunity to strengthen their relationships with banks by demonstrating a deep understanding of product, geography, and customer-specific risks and consequently implementing robust controls. By doing so, fintechs can build confidence with banks, positioning themselves as trustworthy partners capable of managing risk effectively.

However, to successfully scale, fintechs must move beyond ad-hoc risk management and adopt a structured approach to identify and mitigate risks. While manually reviewing sanctions alerts may be feasible in the early days with a limited customer base, this approach becomes operationally risky and inefficient as the business grows. To maintain efficiency, fintechs must establish anti-money laundering (AML) and fraud prevention frameworks that incorporate recurring risk assessments across their business lines. These frameworks should define acceptable and unacceptable risks, as well as the mechanisms to manage them effectively.

Beyond frameworks, fintechs must also implement flexible, intelligent AML and fraud detection systems that align with their risk appetite. Configurable solutions allow fintechs to tailor risk-based approaches, applying higher thresholds for lower-risk products while maintaining the agility to adjust quickly if risks evolve. The era of hard-coded SQL-based policies is over;today’s fintechs need dynamic rule-setting capabilities accessible via user interfaces, enabling them to keep pace with an ever-changing threat landscape. Regulatory bodies should also be engaged in this journey to ensure risk-based strategies are sustainable and effective.

For smaller compliance teams (typical of growing fintechs), the ability to consolidate risk intelligence is crucial. Siloed systems that separately manage sanctions alerts, fraud alerts, and AML transaction monitoring (TM) alerts create inefficiencies and gaps in risk detection. If a customer triggers an alert for suspicious AML behavior, it’s critical to know whether they have previously triggered fraud alerts, as this could indicate laundering fraudulently obtained funds. Consolidating intelligence onto a single platform reduces costs associated with multiple vendors, streamlines workflows, and enhances risk identification, allowing teams to focus on higher-value risk mitigation efforts.

At an industry level, improving payment transparency and intelligence sharing is paramount to combating fraud and disrupting money mule networks in real time. While customer-centric innovation remains a priority, it should not come at the expense of enabling criminals to exploit systemic vulnerabilities. Financial services firms must foster a culture of heightened expectations around fraud and AML controls when forming partnerships. Key considerations should include: does the potential partner fully grasp the fraud and AML risks? What controls has it implemented? Will these controls scale effectively as the firm grows? And what data-sharing mechanisms are in place to uphold compliance obligations with other partners? The answers to these questions should directly inform risk assessments and partnership decisions.

For fintechs and PSPs aiming to establish strong financial services partnerships, implementing robust controls and systems is not just a regulatory necessity – it is a competitive advantage. Trust is a currency in the financial ecosystem, and by demonstrating a proactive approach to risk management, fintechs can position themselves as invaluable partners. Compliance should no longer be viewed as a cost center but rather as a strategic enabler that enhances both the bottom line and the top line. By fostering trust and transparency, fintechs can drive business growth while ensuring the financial ecosystem remains resilient against emerging threats.

Please contact me with your comments and feedback. I’m always happy to share Lynx’s approach to AML.