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9 T H N OV E M B E R 2 02 6 H I LTO N LO N D O N C A N A RY W H A R F

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CONTENTS

e’re delighted that you have chosen to join us at the Fraud Prevention Summit – a unique event, tailor-made to meet your individual requirements. We have carefully planned out your itinerary to ensure your time here is worthwhile: Connect with businesses relevant to your current and forthcoming projects in our matchmade one-to-one meetings. And let’s not forget the networking – we’ve created a relaxed environment for you to form new partnerships, with ample opportunities to mix with peers during the buffet lunch and coffee breaks!

Our Partners

Itinerary

‘AI Fraud Detection Software: What fraud teams should compare’

Seminars

‘Chargeback Management Solutions: What fraud prevention teams should compare’

Delegates

‘Fraud Detection with Machine Learning: How AI helps prevent fraud’

Dates for your Diary

Supplier Directory

@forumeventsltd #FEFraudPreventionSummit

@forumevents #forumevents

Fraud Prevention Summit

For more information about our event, contact: Jennie Lane - Portfolio Sales Manager on 01992 374098 or J.Lane@forumevents.co.uk James Hart - Delegate Sales Executive on 01992 374076 or J.Hart@forumevents.co.uk

Brought to you by

@ForumEventsLtd

Our Partners Headline Sponsor

Partners & Supporters

Fighting Economic Crime Together

Itinerary 08.45 - 09.25 Opening Presentation ‘From Bad Romance to Bad Investments: When fraud gets personal’ Becky Holmes, Communications Expert & Speaker Meeting Room 3

09.30 - 10.00 Panel/Seminar ‘It’s only fraud if you think it is’ Paul Maskall, Head of Policy & Strategic Engagement CIFAS Meeting Room 3

10.05 - 13.05 Face to Face Meetings Quayside Suite

13.05 - 13.50 Networking Buffet Lunch Cinnamon Restaurant

13.55 - 14.15 Seminar ‘When Fraud Funds Harm: Micro-Financing, Digital Assets and Terrorism Financing Risk’ Selcan Tufan, Fraud Specialist Meeting Room 3

14.20 - 14.40 Seminar ‘The Work AI Revealed: Integration, Headcount and Accountability, From Inside the Rollout’ Paul Sullivan, Solutions Engineer Miklos Kiss, VP of Product (Fraud Solutions) SEON Technologies Meeting Room 3

14.45 - 16.45 Face to Face Meetings Quayside Suite

AI Fraud Detection Software: What fraud teams should compare

raud prevention has always involved identifying patterns. What has changed is the scale, speed and complexity of the information available to fraud teams, and the ability of artificial intelligence and machine learning to analyse those signals in real time. A digital interaction might generate information about a customer’s device, location, identity, transaction history and behaviour. Examining each signal manually would be impractical, particularly when thousands or millions of interactions are taking place. AI fraud detection software can analyse combinations of signals to identify relationships, anomalies and behaviours associated with fraud, helping organisations make faster risk decisions. But AI is not a magic fraud detector. Models depend on appropriate data, require monitoring and can generate false positives. Fraud teams also need to understand how automated decisions fit alongside existing rules, manual investigations and customer-experience requirements. This guide examines what fraud and risk professionals should compare when evaluating AI fraud prevention platforms and specialist technology providers. What Is AI Fraud Detection? AI fraud detection uses technologies including machine learning to analyse data and identify activity that may indicate fraud. Traditional fraud systems frequently rely heavily on predefined rules.

Rules remain extremely useful because they allow fraud teams to encode known risks and business policies. But criminals adapt. Machine-learning models can analyse larger combinations of signals and identify relationships that may be difficult to express through individual rules. A transaction might appear ordinary when assessed against any single factor, but become suspicious when several characteristics are considered together. The aim is therefore not necessarily to replace rules with AI. It is to create a more sophisticated decisioning environment combining: Rules + machine learning + contextual data + human expertise AI Fraud Detection Software Modern AI fraud detection software can operate at multiple stages of the customer journey: Account creation > login > transaction > account change > withdrawal > account recovery Potential capabilities include: • Machine-learning risk scoring • Anomaly detection • Device intelligence • Behavioural analysis • Identity verification • Biometrics • Network analysis • Digital footprint analysis • Automated decisioning • Case prioritisation AI vs Rules-Based Fraud Detection Rules and machine learning solve different problems.

Rules are particularly useful when the organisation knows precisely what it wants to detect. Examples might include: • Transactions above a threshold • Activity from prohibited locations • Excessive login attempts • Known compromised credentials • Policy violations They are transparent and relatively easy to understand. But large rule libraries can become difficult to maintain, while new fraud patterns may not match existing conditions. Machine learning Machine-learning models can analyse complex combinations of data and identify patterns based on previous examples. They can potentially identify activity that does not trigger any single predefined rule. However, models require suitable data, monitoring and governance. Fraud Prevention Principle The choice does not have to be: Rules OR AI A stronger question is: “Which decisions should be deterministic, which benefit from machine learning, and where should human judgement remain involved?”

You can read the complete article in the Fraud Prevention Briefing newsletter by scanning or clicking this QR code.

Experian UK Fraud, Experian UK Fraud, Financial and Identity Financial and Identity Crime Report 2026 Crime Report 2026 Navigating the next generation Navigating the next generation of fraud crime risk risk of fraudand andfinancial financial crime

Scan to download the report

Seminars MONDAY 9TH NOVEMBER 08.45 – 09.25

“From Bad Romance to Bad Investments: When fraud gets personal” A look at the victim impact of emotional frauds, the future of fraud and what we should be doing differently. • • • • •

Becky Holmes Communications Expert & Speaker

09.30 – 10.00

Introduction to me and my Twitter exploits Why emotional fraud happens The link between romance fraud and domestic abuse The future of fraud Why changing language matters

In 2020, having been on the receiving end of an annoying number of direct messages from online romance scammers, Becky Holmes started to enjoy wasting their time and publicly ‘outing’ their accounts. Six years later she is now a well-known expert on romance fraud, called upon by both professionals and the media.Her first book, Keanu Reeves Is Not in Love with You, received outstanding reviews from critics, journalists, counter-fraud professionals, comedians andeveryday readers. Her second book, The Future of Fraud, which examines AI, cryptocurrency, social media and the dark web, comes out in April 2026. She alsooccasionally writes for The Times about fraud.

“It’s Only Fraud If You Think It Is” The psychology behind how we excuse, justify and normalise fraud with a view of how decision making, risk perception and increasing accepting is shaping societies view of crime. • • •

Paul Maskall Head of Policy & Strategic Engagement CIFAS

Decision making in an isolated environment Risk perception and Cognitive Heuristics Acceptance and legislation

Paul Maskall believes that technology isn’t the enemy—our relationship with it is. In a world where fraud increasingly exploits human behaviour rather than technical vulnerabilities, his work focuses on understanding the psychology behind trust, deception and decisionmaking, and translating those insights into practical action for industry, government and law enforcement. As Head of Policy and Strategic Engagement at Cifas, Paul works across industry, government and law enforcement to strengthen the UK’s response to fraud and economic crime, championing collaboration and the sharing of data and intelligence to help protect people and organisations from harm.

Seminars 13.55 - 14.15

“When Fraud Funds Harm: Micro-Financing, Digital Assets and Terrorism Financing Risk” This presentation will examine how terrorism financing is increasingly sustained through small-scale, fragmented and difficult-to-detect financial activity, rather than only through large, centralised funding networks. It will explore the relationship between fraud, charitable diversion, online platforms and digital assets, showing how relatively modest sums can still support serious security threats. The session will consider how financial institutions, compliance professionals and fraud prevention teams can better identify overlapping indicators of fraud, money laundering and terrorism financing, particularly in cases where transactions appear low-value, routine or commercially insignificant. • • •

Selcan Tufan Fraud Specialist Cardiff Univeristy

• • •

How fraud can operate as an enabling mechanism for terrorism financing. Why low-value transactions should not always be treated as low-risk. The role of charities, informal value transfer systems and online platforms in moving or concealing funds. Emerging risks linked to crypto-assets, stablecoins and digital payment channels. The difficulty of distinguishing between ordinary fraud, money laundering and terrorism financing indicators. The importance of proportionate, intelligence-led controls that avoid unnecessary over-reporting while still capturing serious risk.

Selcan Tufan is a PhD candidate at Cardiff University, specialising financial crime regulations with a focus on asset forfeiture and terrorism financing in the United Kingdom, Türkiye, and Russia. Her research explores the intersection of law, financial stability, and regulatory enforcement. With a background in law and financial crime analysis, she has expertise in AML/CFT frameworks, risk-based compliance strategies, and regulatory policy.

14.20 – 14.40

“The Work AI Revealed: Integration, Headcount and Accountability, From Inside the Rollout” Nearly every fraud team now runs AI in production. Fewer can say it made the job simpler. SEON’s survey of 1,010 fraud and AML leaders found that 98% have integrated AI into daily workflows, yet 94% plan to hire in 2026 and 80% still struggle to see their data in one place. In this fireside chat, Paul Sullivan, Solutions Engineer at SEON interviews Miklos Kiss, SEON’s Head of Product for Fraud Solutions, to incover who works inside customer implementations [add number or range if approved]. They examine what changes after adoption: where AI earns its keep, why integration decides its value and how teams answer for decisions a model helped make. • •

Paul Sullivan Solutions Engineer Miklos Kiss VP of Product (Fraud Solutions) SEON Technologies

•

Why AI adoption has pushed fraud headcount up rather than down, and how to plan roles around model oversight, complex investigations and exception handling. Why integration determines what AI delivers more than model quality does, and how to make that case internally before the next implementation stalls. How to explain, audit and own an AI-assisted decision when a customer, regulator or internal risk team challenges it, including specific governance practices and accountability frameworks.

Paul Sullivan is a senior solutions engineer at SEON. He works with enterprises across EMEA on fraud prevention programs and helps them weigh growth against risk. Paul has more than a decade of experience in identity verification, anti-money laundering and digital risk management. Before SEON, he built and managed the EMEA solutions consulting team at Trulioo. He previously spent over six years at GBG, where he led pre-sales for identity and worked with clients in financial services, fintech, retail banking and online gaming. Miklos Kiss is the VP of Product at SEON, responsible for fraud solutions, including data enrichment, device intelligence, decisioning and the full investigation platform. Now leading core AI initiatives and agentic product lines. One of SEON’s earliest employees and a core member of its founding team.

Chargeback Management Solutions: What fraud prevention teams should compare

chargeback may appear to begin when a customer disputes a card transaction. For the merchant, however, the circumstances that created it may have begun considerably earlier. A fraudulent customer might have used stolen payment credentials. A legitimate customer may not recognise the merchant name appearing on their statement. An order may have arrived late, a subscription cancellation may have been handled poorly or somebody may claim that a genuine purchase was unauthorised. By the time the dispute reaches the fraud or payments team, the merchant may already be dealing with lost revenue, operational cost and the administrative burden of deciding whether to accept or challenge the claim. That makes effective chargeback management much broader than responding to disputes. The strongest approach connects fraud prevention, customer experience, payment data and dispute management across the transaction lifecycle. The buyer’s starting question should therefore be: where are our chargebacks actually coming from, and which of them could have been prevented before they became disputes? Understand Why Chargebacks Are Happening Not all chargebacks are fraud. GOV.UK notes that customers can seek a chargeback when goods do not arrive, are not as described or when their card has been used fraudulently without permission.

Card-not-present transactions such as online purchases carry greater chargeback risk. Other disputes can result from duplicated payments, cancelled subscriptions, unprocessed refunds or transactions customers simply do not recognise. GOV.UK Pay’s dispute documentation illustrates the breadth of reasons that can sit behind a disputed transaction. That distinction matters because different causes require different interventions. Fraudulent transactions may require stronger fraud detection. Unrecognised transactions might be reduced through clearer billing descriptors. Delivery-related disputes may indicate an operational problem. Subscription chargebacks could point towards cancellation or customer-service processes. A business that treats every chargeback as the same problem is unlikely to solve the underlying causes. Look Beyond Dispute Management Traditional chargeback management often concentrates on what happens after the dispute has been filed. That remains important. Teams need to receive the dispute, understand its reason, gather evidence and respond within the required timeframe. But modern chargeback strategy can operate across three stages: prevention > pre-dispute resolution > dispute management Prevention aims to stop problematic transactions or customer experiences before a dispute arises.

Pre-dispute resolution attempts to resolve potential disputes before they progress into formal chargebacks. Dispute management handles those cases that still reach the formal process. Checkout.com, for example, offers fraud detection, authentication, pre-dispute tools and post-dispute management. Its guidance describes pre-dispute resolution as addressing a potential issue before a customer formally raises a dispute, while its Disputes proposition includes management, resolution and reconciliation capabilities. Buyers should establish which stages a prospective solution actually supports. Stop Fraudulent Transactions Upstream One of the most effective ways to reduce fraud-related chargebacks is to stop the fraudulent payment before it succeeds. That requires enough context to distinguish suspicious transactions from genuine customers. Useful signals might include: • Device • IP address • Location • Transaction velocity • Account history • Behaviour • Email and phone intelligence • Previous fraud associations You can read the complete article in the Fraud Prevention Briefing newsletter by scanning or clicking this QR code.

Fingerprint device intelligence for Enterprise. Fingerprint’s device intelligence platform helps Fortune 500 enterprises identify their online visitors with unmatched accuracy. By analyzing browser, network, and device signals, Fingerprint helps reduce fraudulent transactions, strengthen account security, and improve customer lifetime value. It’s a simple, effective way to make websites and apps safer and more user-friendly. Identification signals

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Delegates

Adena Brands

Group Finance Director

Admiral

Head of Fraud Investigations & Data Validations Head of Fraud Analytics Head of Motor Pricing & Fraud Operations

Amazon UK

Risk Manager

American Express

Audit Director

Anglo American

AD Group Fraud Risk Manager

Apex Group

Head of UK Financial Crime Compliance MLRO

Arbuthnot Latham

Fraud Prevention & Investigation Manager

ASOS

Fraud Investigation Specialist Lead Chargeback Analyst

Brewers

Head of Audit & Risk

BUPA

BGIUK Financial Crime Manager

Canon

European Business Information Security & Risk Lead

Central England Co-Operative

Fraud Specialist Fraud Prevention Manager

Domestic and General

Group Financial Crime Officer

Eurotunnel

Director

Grace Media (Gibraltar) Limited

Money Laundering Reporting Officer

Hargreaves Lansdown

Director of Financial Crime & MLRO

Harper Concierge

Advisor

HM Revenue & Customs

Identity Fraud Prevention Lead

Housing 21

Treasury Operations Manager

HX Group Ltd

VP Finance Operations

Hygglo

Verification Team Lead Head of Verifications

Intact Insurance

Internal Fraud Manager

Jameson Legal

Head of Risk & Compliance Practice

L&Q

Governance Officer

Lendable

Fraud Investigations Manager

Delegates

London Mutual Credit Union

Banking Services Coordinator Head of Banking Services

Markerstudy Insurance

Head of Application Fraud

Metropolitan Thames Valley Housing

Cyber Security Officer Information Security Manager

Monument

Head of Financial Crime & Fraud / MLRO

Octopus Energy

Operations Manager (Fraud & Payments) Credit Team Leader

PortmanDentex

Fraud & Loss Prevention Officer

Santander UK

Fraud Industry Engagement Manager Senior EC Risk & Controls Manager Head of Fraud Policy & Industry Engagement

Sky

Head of Fraud

Sportradar

Manager, Risk & Investigation

Superbet

Senior Engineering Manager - Fraud Prevention

Tesco Mobile

Fraud, Payments & Collections Manager

The Juice Plus+ Company

Senior Fraud Specialist

The London Borough of Hammersmith and Fulham

Investigations Officer Corporate Investigation Fraud Officer

Transport for Wales

Corporate Fraud & Ethics Lead

UBS

Head of Fraud - UK

UNLOQ

Lead, Fraud Prevention

Vodafone Group PLC

Group Fraud Manager

Waystone

Group Accounts Payable Manager

Weightmans LLP

Head of Fraud

Workman LLP

Compliance Manager

YouLend

Credit Fraud Strategy Manager

Fraud Detection with Machine Learning: How AI helps prevent fraud

raud detection has always depended on identifying signals that something isn’t quite right. What has changed is the volume of information businesses can analyse, and the speed at which suspicious behaviour can now be identified. Traditional fraud controls typically rely heavily on predefined rules: block a transaction above a particular value, challenge a login from an unusual location or flag repeated payment attempts. Those controls remain useful, but fraudsters adapt. Fraud detection with machine learning allows businesses to analyse much larger combinations of behavioural, device and transactional signals, identifying relationships that static rules may miss. For merchants, banks, payment providers and digital businesses, that creates an important opportunity: detect more genuine fraud while reducing unnecessary friction for legitimate customers. But successful implementation requires more than buying a platform labelled ‘AI-powered’. Buyers need to understand the data being analysed, how decisions are explained, how models are monitored and where human fraud specialists remain involved. This guide explains how machine learning is being applied to fraud prevention and what organisations should compare when evaluating AI-enabled platforms.

and real-time data and identify patterns associated with fraudulent behaviour. Instead of relying entirely on manually programmed rules, a machine learning model can analyse relationships across many different variables. Depending on the use case, these could include: • Transaction value • Purchase frequency • Device characteristics • IP address • Location • Account history • Login behaviour • Email characteristics • Payment method • Previous fraud outcomes The system can then generate a risk score or classification that helps determine whether an activity should be approved, challenged, declined or sent for manual review. The UK’s National Cyber Security Centre (NCSC) explains that modern AI is generally built around machine learning algorithms capable of identifying complex patterns within data.

What Is Fraud Detection Machine Learning? Fraud detection machine learning uses algorithms to analyse historical

How Does AI Detect Fraud? So, how does AI detect fraud? In simplified terms, a fraud platform gathers signals associated

Fraud Prevention Insight Rules and machine learning don’t need to be competing approaches. Many effective fraud platforms combine deterministic rules with machine-learning risk scoring, allowing fraud teams to retain control while benefiting from more sophisticated pattern analysis.

with an interaction and compares them with patterns learned from previous data. Imagine an established customer making an online purchase. The platform might consider: Device: Is this their usual device? Location: Is the login geographically unusual? Behaviour: Is navigation consistent with previous sessions? Transaction: Is the value typical? Velocity: Have several transactions occurred rapidly? Identity: Are customer details consistent? Network: Are there connections with previously suspicious accounts? Rather than treating each signal independently, machine learning can assess how they relate to one another. The resulting risk score can then trigger different actions. Low risk  approve Medium risk  request additional authentication Higher risk  manual review Very high risk  decline or block This risk-based approach can help organisations apply additional friction selectively rather than treating every customer as suspicious.

You can read the complete article in the Fraud Prevention Briefing newsletter by scanning or clicking this QR code.

Go beyond fraud detection Fraud prevention is only part of the challenge. The ability to confidently verify legitimate customers is what enables secure growth. TransUnion helps organisations make more confident decisions throughout the customer journey by combining:

Document Verification and Facial Biometrics Identity and device intelligence Fraud risk assessment Customer verification capabilities Trusted datasets

Dates for your Diary

22nd September 2027

23rd September 2027

Hilton London Canary Wharf

Scan or click here for our website:

3th November 2027 Hilton London Canary Wharf

Scan or click here for our website:

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Mastercard’s identity network is comprised of 8 billion identity elements. Our solutions assess digital identities using behavioral, device, personal and real-time payment data — all within the context of consumer interactions and global fraud trends. We empower organizations to secure digital commerce through trusted identities, whether the customer is opening a new account, making a purchase or moving money online.

mastercard.com

Supplier Directory Checkout Technology Ltd 02073 233 888 | katrina.merrick@checkout.com | checkout.com Checkout.com processes payments for thousands of companies that shape the digital economy. Our global digital payments network supports over 145 currencies and delivers high-performance payment solutions across the world, processing billions of transactions annually. In 2025, Checkout.com processed more than $300bn in ecommerce payments volume. We help enterprise merchants boost acceptance rates, combat fraud, and turn payments into a major revenue driver. Headquartered in London and with 19 offices worldwide, Checkout.com is trusted by leading brands such as Spotify, HelloFresh, eBay, Uber, Pinterest, Vinted, Klarna, Financial Times, and Sony. Checkout.com. Where the world checks out.

Experian PLC 07811 270 989 | jon.rawson@experian.com About Experian Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, deliver digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments. We invest in talented people and new advanced technologies to unlock the power of data and innovate. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 25,200 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Fingerprint 07508 041 882 | jamie.hughes@fingerprint.com | fingerprint.com Fingerprint is a device intelligence solution that helps companies identify their online visitors with unmatched accuracy. By exposing insightful and accurate web and mobile signals, Fingerprint gives fraud, product and engineering teams the insights they need to understand - and take action on - the intentions of their visitors. This allows you to reduce fraudulent transactions, strengthen account security, and improve customer lifetime value. Whether you’re fighting bots, preventing fake accounts, or improving the customer journey, Fingerprint gives you the tools to act with confidence. It’s easy to implement, and trusted by companies worldwide to identify and understand their online visitors’ intentions.

Fintech Finance News 0749 673 394 | news@ffnews.com | ffnews.com FF News has become a leading source of industry news, covering major industry developments and featuring interviews with top entrepreneurs, banking professionals, and thought leaders. Visit ffnews.com for the latest news, premium video content, and exclusive event coverage.

Fraud.net +19 176 642 510 | kevin@fraud.net | fraud.net FraudNet delivers an AI-native platform that unifies fraud detection, AML compliance, and digital risk management for enterprises in financial services, payments, fintech, and digital commerce. The platform combines advanced AI, machine learning, data orchestration, and a global anti-fraud network to reduce fraud losses and false positives and to streamline compliance workflows, tracking 600+ fraud vectors across industries, payment types, and entity lifecycles. Headquartered in New York, the company processes and analyzes billions of transactions, applications, and events monthly for clients worldwide.

IDENTOMAT LTD 07414 594 763 | zk@identomat.com | identomat.com Identomat is an advanced, AI-driven digital identity verification and compliance platform that streamlines remote customer onboarding while combating fraud. The platform provides end-to-end Know Your Customer, Know Your Transaction, and Anti-Money Laundering solutions tailored for global enterprises. Its core technology includes automated verification of government-issued ID documents across thousands of document types in 193+ countries, combined with optical character recognition and precise data extraction. To ensure genuine presence, Identomat incorporates certified liveness detection and facial recognition technology to prevent spoofing and biometric fraud. A key strength of the platform is its robust risk assessment framework, which operates via a sophisticated built-in rule engine. This engine allows organisations to configure automated decision-making logic, evaluate risk scores in real-time, and flag suspicious activities. Delivered via flexible APIs, software development kits, and no-code workflow builders, Identomat helps businesses minimise manual reviews, ensure regulatory adherence, and maintain secure user experiences.

INFOBIP d.o.o. +38 5993 046 563 | tomislav.nikic@infobip.com | infobip.com Infobip helps businesses, and the platforms that serve them build trusted digital interactions by bringing authentication, identity verification and phone number intelligence together in one portfolio. From onboarding and login to payments and account recovery, businesses can authenticate customers using omnichannel OTPs or frictionless, silent mobile number verification powered by network APIs. Beyond authentication, Infobip provides signals that help businesses identify risk earlier and make more informed fraud decisions. Capabilities such as SIM Swap, KYC Match, Device Location, Number Recycle and Account Tenure provide additional context around a customer and their phone number. Number Risk Score adds an early risk signal based on behavioral data associated with the phone number, while Infobip Signals helps protect businesses from artificially inflated messaging traffic and the unnecessary costs it creates. Together, these capabilities help enterprises strengthen authentication, detect potential fraud earlier and create safer customer journeys without adding unnecessary friction.

Justt.ai 07916 662 572 | eric.a@justt.ai | justt.ai Justt is an AI-native platform for chargeback automation and payment dispute management. Backed by $100M in funding and trusted by 250+ global enterprise merchants, and more than 80,000 SMBs, Justt helps businesses recover more revenue lost from chargebacks by tailoring evidence at scale, optimizing results through A/B testing, and scaling domain expertise into the core of the Justt solution.

LexisNexis Risk Solutions +77 800 919 730 | john.everett@lexisnexisrisk.com | risk.lexisnexis.com/global/ en/corporations-and-non-profits/fraud-and-identity-management LexisNexis® Risk Solutions provides our customers with decision tools that combine public and industry-speciﬁc content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efﬁciency. We use the power of data and advanced analytics to help our customers make better, timelier decisions through our technology suite which covers digital fraud prevention, identity verification, financial crime compliance, payment intelligence and tracing/investigations. If any of the below is relevant to what you are working on, lets chat. • Device, Behavioral & Email Intelligence • KYC,EIDV, Doc Auth, Biometrics & Deep Fake Analysis • Sanctions, Trade Compliance,3rd Party Risk, KYB • Credit Risk & Affordability, Transaction Monitoring • Payment Efficiency, Confirmation of Payee & Verification of Payee • Data Cleansing and Enrichment, Debtor Tracing & Investigations • Orchestration of all the above into a single Fraud and Risk platform

Mastercard 07345 282 803 | dom.gudeliunas@mastercard.com | mastercard.com Mastercard’s identity solutions empower organizations to assess digital identities by leveraging behavioral, device, personal and real-time payment data within the context of consumer interactions and global fraud trends. Whether a customer is opening a new account, managing their account, purchasing from a merchant, or moving money online, we enable organizations to build confidence with minimal friction, raising the ceiling for growth.

Mitek 07920 280 078 | mwhite@miteksystems.com | miteksystems.com Mitek (NASDAQ:MITK) protects what’s real across digital interactions in a world of evolving threats. Mitek helps businesses verify identities, prevent fraud before it happens, and deliver secure, seamless digital experiences in the face of rapidly advancing AI-generated threats. From Account opening to authentication, Mitek’s technology safeguards critical digital interactions. Trusted by the likes of NatWest, Nationwide and Hargreaves Lansdown, more than 7,900 across the globe use Mitek to reduce risk and meet regulatory requirements.

Ping Identity Limited pingidentity.com At Ping Identity, we believe in making digital experiences both secure and seamless for all users, without compromise. That’s digital freedom. We let enterprises combine our best-in-class identity solutions with third-party services they already use to remove passwords, prevent fraud, support Zero Trust, or anything in between. This can be accomplished through a simple drag-and-drop canvas. That’s why more than half of the Fortune 100 choose Ping Identity to protect digital interactions for their users while making experiences frictionless.

SEON Technologies Ltd 07800 908 166 | laura.may@seon.io | seon.io SEON is the AI command center for real-time fraud prevention and AML compliance, helping thousands of companies worldwide stop fraud, reduce risk and protect revenue. Powered by 900+ real-time, first-party data signals, SEON enriches customer profiles, flags suspicious behavior and streamlines compliance workflows. Trusted by Revolut, Entain, Flutter, Mollie, BNP Paribas and Air France among thousands of others, SEON operates globally from Austin, London, Budapest and Singapore, with integrated fraud and AML capabilities built for financial services, payments and iGaming.

Sis ID +33 786 813 469 | anthea.rapeau@eftsure.com | sis-id.com/en What if you never had to worry about fraud again? Sis ID is a French fintech founded in 2016 by CFOs and Treasurers from CAC 40 companies. We help businesses secure their payment data and prevent financial fraud worldwide. Our solution enables companies to: · Secure payments by verifying third-party bank details · Anticipate fraud attempts · Keep their supplier database up to date · Streamline the process from procurement to payment Since 2025, Sis ID has been part of Eftsure, an Australian leader in supplier payment security since 2014. Together, we are becoming a global player in payment security, with international coverage and reach. With Sis ID, an Eftsure company, together we make payment security global !

Sum And Substance Ltd +99 555 1104 272 | indzhira.ozaeva@sumsub.com | sumsub.com Sumsub is the first AI-powered trust infrastructure for compliance operations at scale. It connects identity and business verification, fraud prevention, transaction monitoring, and risk workflows, helping teams reduce manual work and enter new markets. Trusted by over 4,000 clients across financial services, crypto, mobility, trading, marketplaces, education, and iGaming, including Bybit, Bitpanda, Wirex, Avis, Vodafone, Duolingo, and Kaizen Gaming.

Telesign 07393 441 822 | atutunovic@telesign.com | telesign.com Telesign, part of Proximus Global, helps organisations stop fraud and build lasting trust with their customers. Our digital identity and verification APIs protect every stage of the customer journey, from onboarding and log-in to transactions and account changes. The Telesign Trust Engine combines phone number intelligence, real-time identity and behavioural signals, and multifactor authentication (including SMS Verify, Silent Verification and Verify Plus) to score the risk of every interaction. It helps fraud teams block fake users and bots, detect synthetic identities, prevent account takeover and stop International Revenue Share Fraud, all without adding friction for genuine customers. It plugs into existing fraud models and access management. With coverage in more than 230 countries and territories, over 35 patents and one of the world’s largest mobile identity datasets, Telesign is trusted by two-thirds of the world’s largest brands.

TMT ID Limited 07395 152 322 | paul.nicholson@tmtid.com | tmtid.com We are global experts in Mobile Number Intelligence™, providing businesses with the insights needed to build trust, prevent fraud, and make informed decisions throughout a customer lifecycle. We specialise in two key areas: - Mobile Identity: Delivering real-time insights that verify users, detect risks, and ensure secure interactions - from onboarding to offboarding. - Number Intelligence: Enabling precise routing of SMS and voice traffic with unmatched speed, accuracy, and coverage to prevent fraud and reduce costs. Trusted by leading organisations, we empower businesses to reduce friction, optimise efficiency, and protect customer journeys with confidence. From stopping fraud to streamlining customer experiences, our solutions work in real-time to safeguard trust at every moment. We’re not just providing a service; we’re creating a new standard for security, transparency, and customer care.

Transunion 01133 884 300 | Glyn.Cowlishaw@transunion.com TransUnion is a global information and insights company that helps organisations make informed decisions with greater confidence. Through our fraud and identity solutions, we enable businesses to build trust, reduce risk and deliver secure customer experiences across the customer lifecycle. Our advanced capabilities combine identity, device and behavioural intelligence to help detect and prevent fraud at critical moments, including onboarding, account takeover, authentication and transactions. By bringing together robust data, analytics and real-time risk signals, we help organisations identify genuine customers more effectively while stopping increasingly sophisticated threats such as synthetic identities, credential compromise and first-party fraud. Trusted by businesses across sectors including financial services, gaming and telecommunications, TransUnion empowers organisations to strengthen fraud prevention strategies, support regulatory obligations and create seamless, friction-right experiences that protect both businesses and consumers in an increasingly digital world.

23rd September 2027 London Canary Wharf

SEMINARS

Join educational sessions and panels led by top industry experts. Discuss current trends and best practices to enhance your skills and knowledge.

ONE-TO-ONE MEETINGS

The summit pairs buyers with leading suppliers through personalised one-to-one meetings, fostering connections and exploring business opportunities in a relaxed setting.

Explore how our event unfolds here

01992 374095 j.sammon@forumevents.co.uk

NETWORKING

Like-minded individuals will have the chance to connect with peers, build new business relationships, strengthen existing ones, and discuss industry advancements.

Smarter Payments Summit

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3rd November 2027 Hilton London Canary Wharf

The Cyber Secure Forum continues to follow the awardwinning structure, that brings key IT/cyber security professionals together with leading solution providers for focused one-to-one meetings via a pre-arranged itinerary of business meetings. Explore how our event unfolds here

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01992 374078

l.cloona@forumevents.co.uk

Cyber Secure Forum