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The Margin Eater: Why a Single Telco Fraud can Devour the Profit of Numerous Good Accounts

The Margin Eater Why a Single Telco Fraud can Devour the Profit of Numerous Good Accounts

In the highly competitive world of telecommunications, the relentless pursuit of new subscribers and the allure of cutting-edge devices often overshadows a silent, yet devastating, threat: application fraud. While the shiny new smartphones with their impressive price tags capture headlines and consumer attention, the true long-term profitability for Telcos predominantly lies in the ongoing revenue generated from SIM packages and monthly service subscriptions, not merely the initial device sale. Yet, when application fraud strikes, the financial fallout can be catastrophic. Each fraudulent account can easily lead to losses running into thousands of pounds, frequently involving the unrecovered cost of high-value devices, many of which retail for over £1,000 per unit. For large telecommunications providers, with the sheer volume of transactions and the constant demand for the latest, most expensive handsets, these individual losses quickly compound, escalating to millions, and even hundreds of millions annually. 

Globally, the scale of this problem is staggering. The Communications Fraud Control Association (CFCA) reported an estimated $38.95 billion USD lost to telecommunications fraud worldwide in 2023. This represents a significant 12% increase from 2021 and accounts for 2.5% of global telecommunications revenues. A substantial portion of this, with Subscription (Application) Fraud alone accounting for $5.46 billion USD in 2023, directly impacts the bottom line, demanding a fundamental shift in how Telcos approach risk. 

The perception that device sales are the primary profit driver is a dangerous misconception. Devices are frequently heavily subsidised to attract customers, with the real margins and sustained revenue streams stemming from the recurring monthly charges for calls, data, and value-added services. A churned customer or, worse, a fraudulent one, directly erodes these foundational profits. This makes every successfully activated SIM package a long-term asset, and every fraudulent application a substantial liability that can wipe out the profit from countless legitimate sales. 

The Evolving Landscape of Fraud: First-Party and Identity Theft

The threat landscape for Telcos is becoming increasingly sophisticated. Two particularly insidious forms of fraud are on the rise, contributing significantly to the global losses:
  • First-Party Fraud

    This occurs when a seemingly legitimate customer intentionally provides false information or manipulates their identity to obtain services or devices with no intention of paying. This isn’t about external criminals; it’s about individuals exploiting system vulnerabilities, often driven by financial distress or a perceived lack of consequences. Examples include falsely reporting a device as lost or stolen to claim insurance, or signing up for multiple contracts with no intention of fulfilling them. Recent data indicates a concerning surge in first-party fraud across various sectors in the UK, including telecommunications, leading to significant losses from unrecovered devices, unpaid bills, and the administrative burden of chasing bad debt. Indeed, some reports suggest first-party fraud now accounts for over half of all reported incidents in the UK.
  • Identity Fraud

    This is a broader category encompassing the use of stolen or synthetic identities to open new accounts, take over existing ones, or carry out other illicit activities. For Telcos, this often manifests as subscription fraud, where fraudsters use stolen personal details to acquire high-value devices and services with no intention of paying. The impact can be widespread, from the direct financial losses of unrecovered devices and unpaid bills to significant reputational damage and the erosion of customer trust. Alarmingly, industry data suggests that 1 in 9 applications in the telecom sector are believed to be fraudulent, with identity fraud being a main driver. The UK has seen a concerning surge in identity fraud within the telco sector, with Cifas reporting an 87% rise in identity fraud linked to mobile products and a dramatic 1,055% surge in unauthorised SIM swaps in recent periods.

Technology and High-Value Devices: A Double-Edged Sword

The very innovations driving growth in the telco sector also present significant fraud challenges:
  • Expensive Devices as Prime Targets

    The constant demand for the latest, most advanced smartphones with retail prices often exceeding £1,000 makes them incredibly attractive targets for fraudsters. Acquiring these devices through fraudulent applications allows criminals to quickly resell them for a substantial profit, leaving the Telco to bear the considerable cost. This direct financial incentive fuels a significant portion of the global fraud problem, contributing to the billions lost annually.
  • Rapid Application Processes

    To compete effectively and meet customer expectations, Telcos have streamlined their application processes, often enabling near-instant approvals. While beneficial for legitimate customers, this speed can inadvertently create windows of opportunity for fraudsters who leverage stolen or synthetic identities before robust checks can be completed.
  • Digital Transformation

    The shift towards digital channels for customer onboarding and service management, while offering convenience, also exposes Telcos to new avenues for cyber threats and sophisticated fraud techniques. Fraudsters are leveraging AI and advanced tools to create convincing fake identities and bypass traditional detection methods.
  • 5G Networks and IoT

    The rollout of 5G and the proliferation of IoT devices present new attack surfaces. With billions of connected devices, the sheer volume of potential targets and data makes comprehensive fraud detection more complex than ever.
These factors necessitate a proactive and adaptive approach to application fraud prevention. The traditional, siloed methods of fraud detection are no longer sufficient against an increasingly agile and technologically adept criminal underworld.

Strategic Imperatives for Telco Fraud Mitigation

Given the evolving nature of fraud and the significant financial stakes, Telcos must move beyond reactive fraud management to embrace a more strategic, intelligence-driven approach. Key considerations for Telco leaders looking to safeguard their revenues and reputation include:
  • Holistic Risk Visibility

    Fragmented data and siloed departments within a Telco often create blind spots that fraudsters exploit. A truly effective solution must aggregate data from across the customer lifecycle – from initial application to ongoing usage patterns – and integrate it with external data sources. This unified view is essential for understanding complex fraud typologies and making informed decisions.
  • Adaptive Intelligence, Not Static Rules

    Fraudsters are constantly innovating. Relying solely on static, rules-based systems for fraud detection is akin to fighting tomorrow’s battles with yesterday’s weapons. Telcos need dynamic, AI and machine learning models that can continuously learn from new patterns, identify emerging threats, and adapt their detection capabilities in real-time. This includes identifying nuanced behavioural anomalies that indicate first-party fraud.
  • Seamless Journeys with Risk-Based Step-Up

    In the race for customer acquisition, Telcos strive for seamless onboarding experiences. However, this cannot come at the expense of robust security. The challenge lies in utilising data in real-time to deliver a sophisticated risk-based approach. This allows Telcos to provide genuine customers with smooth, frictionless journeys, while simultaneously stepping up security measures and escalating for deeper scrutiny only when real-time risk signals are detected. This intelligent balance minimises unnecessary friction for good customers, preserving conversion rates, whilst effectively thwarting fraudsters.
  • Operational Efficiency in Investigation

    When suspicious activity is detected, swift and efficient investigation is paramount. This requires integrated case management tools that empower fraud analysts with comprehensive customer profiles, detailed risk scores, and streamlined workflows to accelerate decision-making and minimise operational overhead.
  • Proactive Monitoring Beyond Onboarding

    Fraud doesn’t end at activation. Telcos must establish continuous monitoring capabilities to detect suspicious activities post-application, such as unusual usage patterns, high-risk events like changes to customer details, account takeover risks indicated by suspicious login attempts or SIM swaps, or sudden, uncharacteristic changes in behaviour. This ongoing vigilance is crucial for identifying and mitigating evolving threats throughout the customer lifecycle.

In the constant battle against application fraud, simply selling more SIM packages won’t cover the immense costs of a single fraudulent account, let alone the compounding losses from unrecovered high-value devices that can cost large Telcos millions, or even hundreds of millions, annually. With global telecommunications fraud losses estimated at nearly $39 billion USD in 2023, and 1 in 9 applications believed to be fraudulent, the imperative for robust, intelligent solutions is undeniable. Telco leaders must recognise that investment in advanced fraud prevention is no longer a discretionary spend, but a critical strategic imperative to protect their bottom line and secure their future growth. 

Leading platforms deliver comprehensive fraud detection and prevention by integrating a wide array of data sources, applying advanced machine learning models, and enabling real-time decisioning. This empowers the platform to uncover anomalies in application data, monitor behavioural patterns, and identify suspicious activity across multiple fraud types—including first-party fraud, identity fraud, post-application monitoring, and the screening of high-risk events. With powerful data orchestration, a configurable decision engine, detailed customer profiling, and rich analytics with visual insights, such platforms enable businesses to make well-informed, timely decisions to effectively reduce fraud risk. They also feature fully integrated case management systems that streamline investigation workflows and enhance operational efficiency. 

To find out more about how Provenir is helping Telcos mitigate fraud, get in touch. 

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BritCard: Identity, Inclusion, and the Fine Line Between Safety and Surveillance 

BritCard: Identity, Inclusion, and the Fine Line Between Safety and Surveillance

Let’s be honest. The first reaction to a new government-backed identity card like the proposed BritCard isn’t excitement — it’s suspicion.

Headlines and social media posts paint a picture of a tracking tool:

  • A way to log when you go abroad.
  • A database that can follow your every move.
  • Even fears that the government could dip directly into your bank account.

These stories get attention because they play to something real — our collective anxiety about privacy and control in the digital age.

The plan is to anchor BritCard within the existing Gov.UK One Login/Wallet infrastructure, enabling landlords, employers, banks, and public services to verify entitlements — such as right-to-work and right-to-rent — through a single secure verifier app.

This blog explores both sides of the BritCard conversation: the tangible benefits a universal digital ID could deliver and the concerns that need addressing if it’s to earn public trust. Whether you see it as a step toward inclusion or a step too far, the debate matters — because the way we design identity systems shapes how millions of people access services, prove who they are, and protect what’s theirs.

The Potential Benefits

  • Free ID for Everyone

    Passports and driving licences cost money — often over £80 — and not everyone can afford them. That’s why, even today, estimates suggest between 2 and 3.5 million adults in the UK do not have any form of recognised photo ID. For those people, everyday tasks like proving their identity for a job, rental, or bank account become unnecessarily difficult.

    A free, universal ID could change that by giving everyone the same basic proof of identity, regardless of income or background. Everyone should have the right to a free, recognised form of identification. For some, the BritCard could be their very first form of official ID — a tool that unlocks access, not just for the few, but for everyone.

  • “I Don’t Have My Document With Me — But I Have My Phone”

    We’ve all had that frustrating moment: halfway through an application, asked for a passport or licence that’s sitting in a drawer at home. With a reusable digital ID, that roadblock disappears. You carry it with you, ready to use in seconds, whether you’re applying for a loan, signing a tenancy, or verifying your age.
  • Fighting Deepfakes, Fake IDs, and Synthetic Identities

    Fraudsters thrive on weak ID checks. They exploit gaps by creating fake identities, using stolen details, or even building synthetic identities that blend real and fake information to appear legitimate. In 2024, UK victims reported over 100,000 cases of identity fraud, with losses running into the hundreds of millions.

    Criminals are already a step ahead. They’re using deepfake technology to generate highly convincing images and videos of passports, driving licences, and even live “selfie” checks. These fakes are often detected — but when they slip through the net, the results can be very costly for businesses in terms of direct losses, compliance fines, and reputational damage.

    Would the BritCard be a perfect, spoof-proof solution? Probably not. No system is. But by anchoring identity to a single, secure, government-issued credential, rather than fragmented checks across dozens of providers, it could raise the barrier significantly.

  • Inclusion for the “Thin File”

    Not everyone has a long credit history. Young people, newcomers to the UK, and international students often struggle to prove not that they exist, but where they live.

    Take Anna, a 19-year-old student from Spain arriving for university. She doesn’t have a UK credit record, isn’t on the electoral roll, and her rental agreement isn’t always accepted by banks. Today, opening a bank account might take weeks of back-and-forth. With a BritCard linked to her university enrolment and HMRC registration, her address could be confirmed instantly — letting her start life in the UK without delay.

    This kind of real-time verification would mean:

    • Faster access for genuine newcomers and young people.
    • Less frustration in everyday applications.
    • Stronger protection against fake documents, since address data would come only from verified sources.
  • One Solution Across Industries

    Today, every organisation has its own way of verifying identity. Banks, lenders, telcos, landlords, and employers all use different systems, which means customers face repeated checks, duplicated requests, and sometimes inconsistent outcomes.

    A universal digital ID like the BritCard could streamline this. Instead of juggling multiple verification systems, businesses could plug into a single, trusted credential.

  • Banks & lenders:
    Since the Immigration Act requires them to verify that customers have the right to live and work in the UK, a universal digital ID could make compliance far easier — reducing manual processes and ensuring consistency.
  • Telcos & utilities:
    Easier verification for new contracts, protecting against account fraud and “bust-out” scams.
  • Landlords & letting agents:
    Reliable right-to-rent checks without chasing paper documents.
  • Employers:
    Quicker right-to-work verification, reducing the cost and risk of manual checks.
  • E-commerce & digital services:
    Stronger age and identity checks at checkout, with less friction for genuine buyers.
  • Healthcare and public services:
    Faster onboarding with safeguards for sensitive data.
In short, the BritCard could become a common trust layer across industries, making life easier for genuine customers and raising the bar for criminals trying to exploit inconsistent processes.

What We Can Learn from Other Countries

The UK wouldn’t be the first to try a universal digital identity. Other countries have already rolled out similar schemes, with valuable lessons:
estonia flagEstonia has built one of the most advanced digital societies in the world on the back of its national ID. Citizens use it for healthcare, tax, banking, and even voting. A cryptographic flaw in 2017 forced an emergency response — a reminder that even strong systems must plan for cyber risks.
denmark flagDenmark’s MitID is used by almost all adults, proving that widespread adoption is possible. It has improved trust and convenience, though scams and social engineering remain ongoing challenges.
singapore flagSingapore’s Singpass shows how integration across public and private services can reduce friction for citizens, but also how critical it is to provide strong customer support against fraud attempts.
india flagIndia’s Aadhaar demonstrates scale and inclusion, giving hundreds of millions of people their first form of ID. But it has also highlighted the importance of legal guardrails and clear limits on how data can be used.
When designed well, digital ID systems can unlock access, improve security, and fight fraud. But every example also shows that inclusion, privacy, and resilience must be built in from day one.

The Concerns and Risks of BritCard

For the BritCard to work, public trust will be just as important as the technology itself. While the benefits are clear, there are also challenges that need to be addressed.
  • Inclusion and the Right to ID
    Every adult should have the right to a recognised identity. For some, the BritCard could be their very first form of official ID. But to live up to that promise, it must be accessible to everyone — not just those with smartphones, stable internet, or digital confidence. Without inclusive design and offline options, the very people who stand to benefit most could still be left out.
  • Privacy and Data Use
    People want to know how their data will be stored, who can access it, and for what purpose. Without clear guardrails, concerns about “too much information in one place” could undermine trust.
  • Cyber security
    Any centralised identity system will be a target for hackers. Even the most secure designs need robust contingency plans, rapid patching, and transparent communication in the event of an incident.
  • Consistency of Experience

    If the BritCard is adopted unevenly, with some industries using it fully and others sticking to older processes, users may end up facing the same frustrations as today. A smooth, consistent experience will be critical to delivering real value.

Walking the Fine Line

To some, BritCard feels like a step closer to monitoring; to others, it promises inclusion, protection, and simplicity. The truth is that it could be both — or neither — depending on how it is designed and delivered.

If the system is built with cyber security at its core, with ease of use for every citizen, and with a focus on adding real value for both consumers and businesses, then the BritCard could solve many of the frustrations we face today with passports, licences, and paper-based processes.

Get it wrong, and it risks being seen as another layer of control. Get it right, and it could be one of the most empowering tools of the digital age — tackling fraud, opening access, and proving that identity can be both secure and inclusive.

This isn’t about politics — it’s about tackling fraud, improving inclusion, and building a digital ID system that puts privacy and cyber security first.

Learn More About Provenir’s Fraud & Identity

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First-Party Fraud: The Hidden Cost

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First-Party Fraud:
The Hidden Cost of “Good” Customers

Unmasking Risk with a Unified Approach

  • jason abbott headshot

    Jason Abbott 

In the relentless battle against fraud, our industry has traditionally focused heavily on third-party attacks – the obvious criminals attempting to steal identities or hijack accounts. While crucial, this focus can obscure a far more insidious and often underestimated threat: first-party fraud (FPF).

First-party fraud occurs when a seemingly legitimate customer manipulates products or services for financial gain. Unlike external fraudsters, these individuals often use their own genuine identity, making them incredibly difficult to detect with traditional fraud detection methods. The insidious nature of FPF means it frequently slips through the cracks, masquerading as legitimate credit risk or bad debt, and quietly eroding profitability across a number of businesses globally.

The Nuances of First-Party: Beyond Just Bad Debt

FPF manifests in various forms:
  • No Intent to Repay: This is perhaps the most damaging type. Here, the applicant takes out a loan, opens a credit line, or acquires a device with a deliberate intention not to repay from the outset. They may appear creditworthy on paper, but their true aim is to default.
  • Fabricated Income/Employment: Inflating income, creating fake employment, or misrepresenting financial obligations to secure better terms or larger credit limits.
  • Bust-Out Schemes: Initially establishing a good payment history, then maxing out credit lines with no intention of repayment, often followed by disappearing or declaring bankruptcy.
  • Friendly Fraud/Chargeback Abuse: Disputing legitimate charges or feigning non-receipt of goods/services to avoid payment.
  • Early Account Closure/Churn: Using an account for a specific benefit (e.g., promotional offer, cashback) and then closing it immediately, leaving the provider out of pocket.

The core challenge with FPF, particularly “no intent to repay,” is that it blurs the lines between credit risk and outright fraud. A customer might appear to simply be a “bad credit risk” when, in fact, they are a fraudster. Traditional fraud prevention systems, often siloed from credit risk assessments, are not designed to detect this deliberate deception.

Why FPF Goes Undetected: The Blurry Line of Intent

The struggle to detect FPF stems from several factors:

  • Authentic Identity: The applicant uses their real name, address, and genuine identity documents. This makes it difficult for standard ID&V checks to flag them as fraudulent.
  • Intent is Hard to Prove: Proving intent to defraud is complex. Unlike stolen identities, where the illicit nature is clear, FPF relies on understanding behavioral anomalies and subtle red flags that indicate malicious pre-meditation.
  • Siloed Operations: Credit risk, fraud, and collections teams often operate independently, using separate data sets and disparate systems. This prevents a holistic view of the customer journey and makes it challenging to connect early application behaviors with later default patterns.
  • Data Gaps: Traditional credit models primarily focus on past payment behavior. They often lack the dynamic, real-time insights into application inconsistencies, behavioral biometrics, or device intelligence that could expose FPF.

Unifying Risk to Unmask First-Party Fraud Through Behavioral Intelligence

Effectively combating first-party fraud – especially the “no intent to repay” variant – requires a unified, data-driven approach that breaks down the traditional silos between fraud, credit risk, and even collections. This necessitates adding a crucial layer of behavioral intelligence to risk assessments.

  • Orchestrating a 360-Degree View of the Applicant: The key to unmasking intent lies in connecting seemingly disparate data points. This involves integrating vast and diverse data sources – not just credit bureau data, but alternative data, device intelligence, telecom data, and internal application history. By orchestrating this rich tapestry of information, a comprehensive profile can be built that reveals subtle inconsistencies and red flags indicative of FPF.
  • Early Detection of Fraudulent Intent through Behavioral Signals: This goes beyond traditional checks. Actively capturing and analyzing behavioral signals during the application process and beyond can provide critical insights. These include:

    • Application Behavior: How an applicant interacts with the application form (e.g., speed of completion, excessive copy/pasting, rapid changes to information, unusual navigation patterns).
    • Device Fingerprinting: Identifying suspicious device usage patterns (e.g., multiple applications from the same device but different identities, use of emulators or VPNs).
    • User Interface Anomalies: Detecting unusual interactions that deviate from typical, legitimate user behavior. These early behavioral indicators, often invisible to conventional systems, provide invaluable insights into a potential “no intent to repay” scenario, allowing for intervention before a loss occurs.
  • Advanced Machine Learning Models for Deeper Intent Detection: Leveraging this enriched dataset, including behavioral signals, powerful machine learning models can be employed. These models should be continuously learning and adapting to:

    • Identify Anomalies in Application Data: Pinpointing unusual patterns that might bypass basic checks.
    • Correlate Behavioral Flags with Risk: Understanding how specific behavioral patterns, when combined with other data, indicate a higher propensity for FPF.
    • Predict “No Intent to Repay”: By analyzing a combination of application data, behavioral signals, past repayment behaviors (across an ecosystem of lenders, if applicable), and external fraud indicators, models can generate a predictive score for intent-based fraud. This allows for proactive intervention at the application stage.

  • Real-Time, Adaptive Decisioning: FPF requires rapid response. Real-time decision engines allow organizations to instantly assess the nuanced risk of each applicant. This means legitimate customers experience seamless onboarding, while suspicious applications are flagged for further review or denied, preventing losses before they occur. The flexibility of such systems enables rapid adaptation of strategies as new FPF patterns emerge.

Connecting the Dots Across the Customer Lifecycle: A core strength lies in unifying platforms for credit risk, fraud prevention, and collections. This holistic view is paramount for FPF:

  • Integrated Data for Credit Risk: Data insights gathered during fraud detection, including behavioral signals, can directly feed into and enhance credit risk models, providing a more accurate assessment of true repayment likelihood.
  • Early Warning for Collections: By identifying FPF at the application stage or early in the account lifecycle, businesses can proactively adjust collections strategies, prioritize accounts, or even prevent the onboarding of high-risk individuals from the outset.
  • Feedback Loops for Continuous Improvement: Performance data from credit risk and collections efforts can be fed back into the fraud models, creating a powerful feedback loop that continuously refines detection capabilities.

Beyond the Bad Debt Write-Off: Preventing Fraud at the Source

First-party fraud is not simply bad debt; it’s a deliberate act of deception that demands a dedicated, intelligent solution. By moving beyond siloed operations and embracing a unified risk approach that intelligently combines traditional and behavioral data, leverages advanced machine learning, and enables real-time decisioning, businesses can effectively unmask “no intent to repay” schemes and other forms of FPF. This not only mitigates significant financial losses but also ensures that resources are focused on truly legitimate customers, fostering a more secure and profitable ecosystem for all.


Jason Abbott is a highly experienced fraud prevention leader with 18 years of expertise, currently serving as the Director of Fraud Solutions at Provenir. He specializes in application fraud, identity, and authentication, with a strong background in product management and go-to-market strategies for fraud software. Having held significant roles at major UK banks like JPMorgan Chase & Co., Barclays, and HSBC, Jason has a proven ability to deliver results across retail, corporate, and wealth sectors, actively contributing to the industry by sharing insights on evolving fraud threats. Get in touch on LinkedIn.

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Customer Lifetime Value – Unlocking Growth Through Intelligent Customer Management

ProvenirNEXT

Roundtable

Customer Lifetime Value – Unlocking Growth Through Intelligent Customer Management

  • 13th November 2025
  • 6:30 PM – 9:00 PM
  • The Ritz-Carlton, Dubai International Financial Centre

In today’s hyper-competitive financial services landscape, the race is no longer just about customer acquisition—it’s about maximising Customer Lifetime Value (CLV). As acquisition costs rise and customer expectations evolve, banks and lenders must shift toward long-term, value-driven relationships. 

CLV is becoming a critical metric that informs decisions across pricing, personalisation, and risk. Yet many institutions still rely on siloed, backward-looking systems that fail to activate CLV as a real-time lever for growth. 

The future lies in intelligent customer management—where AI, predictive analytics, and real-time decisioning work together to deliver proactive, hyper-personalised engagement across every stage of the customer lifecycle. 

We are honoured to be joined by Mohammed Ismaeel Hameedaldin, whose expertise in Product and Brand Marketing will offer valuable insight into how leading banks and fintechs are turning CLV into a strategic growth engine.

Key Discussion Points:

  • How connected customer management drives long-term value
  • Using predictive analytics to inform lifecycle decisions and boost retention
  • Real-time decisioning: from insight to action at the point of interaction
  • Aligning CX, risk, and data teams to maximise CLV
  • Future-proofing your customer strategies with AI-powered platforms
Format:
  • 6:30 PM

    Arrival and welcome drinks
  • 7:00 PM

    Keynote from Mohammed Ismaeel Hameedaldin, Partner at TOUGHLOVE Advisors and Chairman of the Marketing Society in the GCC
  • 7:20 PM

    Roundtable discussion and dinner is served
  • 9:00 PM

    Official close and summary
Register your interest here

Mohammed-Ismaeel-Hameedaldin

Mohammed Ismaeel Hameedaldin

Partner at TOUGHLOVE Advisors and Chairman of the Marketing Society in the GCC

A Business Leader, a Product & Brand Marketer, a Mentor, and a passionate People Leader.

Mohammed is a Partner at TOUGHLOVE Advisors and Chairman of the Marketing Society in the GCC. He is a former CMO with over 30 years of experience across varied multi-national blue-chip firms.

Initially starting his career in finance, where he spent the first 5 years of his working life, his real passion is in the field of Marketing, where he has spent the last 27+ years across diverse marketing functions including Insights, Marketing Strategy, Planning and Consulting, Sponsorship & Events, Product & Brand Marketing as well as all aspects of Social, Digital and Data led Marketing. He’s a strong believer in marketing as a business function, with a real focus on the value it brings to the bottom line. He started his career at Citibank, and the next 10 years at P&G followed by a similar stint at HSBC before finally moving to Visa Inc where he spent the last 7.5 years as the SVP of Marketing across 90 Markets.

In addition, he was the executive sponsor for both the Mental Health and Wellness as well as Women’s Leadership Networks at Visa, both areas he is extremely passionate about and are areas that he championed both in and out of Visa.

The ProvenirNEXT Leadership Roundtable Series brings together industry visionaries, C-level executives, and thought leaders for insightful discussions on redefining risk decisioning strategies. The series fosters a collaborative environment for sharing forward-thinking perspectives, exploring innovative approaches, and shaping the future of fraud prevention in an era of rapid technological evolution and increasing digital risk.

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Meet Provenir at the Datos Insights Financial Crime and Cybersecurity Forum 2025

Event

Meet Provenir at the Datos Insights Financial Crime and Cybersecurity Forum 2025

Join us at this premier gathering of financial crime fighters as we explore how innovative technology is transforming fraud prevention and cybersecurity in financial services.

Don’t Miss Our Expert Panel Discussion

  • “When Good Customers Go Bad: The Growing Challenge of First-Party Fraud”

    Speaker: Jason Abbott, Director of Fraud Solutions, Provenir
    Date & Time: Wednesday, August 27 | 10:45 AM – 11:30 AM
  • First-party fraud is one of the fastest-growing threats facing financial institutions today. Join our expert discussion as we dive deep into:

    • Emerging patterns in first-party fraud schemes
    • Advanced detection techniques and behavioral analytics
    • Real-world case studies and prevention strategies
    • How to balance customer experience with fraud protection
Schedule a One-on-One Meeting with Our Fraud Experts
  • Stay Ahead of Evolving Threats:
    Learn how leading institutions are leveraging AI and machine learning to detect sophisticated fraud patterns before they impact your bottom line.
  • Real-World Solutions:
    Get insights from our fraud experts who work with top-tier financial institutions daily.
  • Innovation Insights:
    Explore cutting-edge fraud prevention technologies including behavioral biometrics, device intelligence, and advanced analytics that are reshaping the industry.

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We’ll discuss:
  • Your current fraud challenges and pain points
  • Emerging threats specific to your market segment
  • Technology solutions that can strengthen your defenses
  • Success stories from similar institutions
  • ROI projections and implementation strategies
Schedule Your FCCF Meeting

Book Now!

LATEST WEBINARS

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Multi-Faceted Fraud Response Strategies for Financial Services – with Sophia Qureshi of Provenir

Multi-Faceted Fraud Response
Strategies for Financial Services

Our VP of Product Management for Fraud Solutions, Sophia Qureshi,
recently returned to the AI in Financial Services podcast to discuss the
topic of multi-faceted fraud response strategies for financial services.

Today’s guest is Sophia Qureshi, VP of Product Management for Fraud Solutions at Provenir. Provenir is a fintech company whose AI decisioning platform helps clients manage credit risk, prevent fraud, and stay compliant across the customer lifecycle. Sophia joins the podcast to discuss the evolving threat landscape and how AI is changing the balance of power. Later, she explains the ways fraud detection has traditionally relied on deterministic technologies like anomaly detection and how the rise of generative AI has enabled more sophisticated fraud tactics, from deepfake identity forgeries to large-scale phishing campaigns. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

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Stop Fraudsters in Their Tracks – Before They Strike

Stop Fraudsters in Their Tracks – Before They Strike

Watch Our On-Demand Demo: Real-Time Fraud Prevention That Actually Works
Fraud attempts are up 70% year-on-year, and traditional systems can’t keep pace. See how Provenir’s AI-powered platform helps financial institutions detect and prevent fraud in real-time across every channel.
This demo is for you if you’re experiencing…
  • High false positive rates frustrating legitimate customers
  • Delayed fraud detection allowing losses to mount
  • Siloed systems creating blind spots fraudsters exploit
  • Inflexible fraud rules that can’t adapt to new threats
See How Leading Financial Institutions Are Winning the Fraud War
In this 45-minute demonstration, Principal Consultant Frédéric Dubout reveals why forward-thinking organisations are choosing Provenir’s revolutionary real-time risk decisioning platform.
What You’ll Learn:
  • Real-time, multi-layered fraud detection with advanced machine learning models
  • Low-code/no-code orchestration to build and adapt fraud strategies quickly
  • Dynamic decisioning that adapts to emerging threats across any channel
  • Integrated intelligence from third-party data sources (device, behavioural, identity, and transaction)

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Rethinking Fraud Prevention in the Middle East & Africa

On-Demand Webinar

Rethinking Fraud Prevention in the Middle East & Africa

Fraud is accelerating across the Middle East & Africa, with $4B lost annually in banking fraud and 1 in 4 digital banking customers experiencing fraud attempts. Telecom operators in the region are also facing rising losses as fraudsters exploit gaps in traditional prevention methods.

Traditional fraud prevention systems—often reliant on static rules and siloed data—are no longer sufficient.
To combat this escalating threat, banks and telcos in MEA must embrace real-time, AI-driven risk decisioning and a holistic fraud strategy that integrates behavioural analytics, network intelligence, and collaborative data ecosystems. The time to act is now: as digital adoption accelerates, so too must innovation in fraud prevention.
Listen to this webinar to learn:
  • Why static rules aren’t enough and how AI-driven fraud prevention adapts in real-time. The role of real-time data orchestration in creating a 360-degree risk view.
  • How machine learning is transforming fraud prevention by predicting and blocking threats.
  • Why an integrated fraud and risk decisioning platform is key to stopping emerging threats.

Moderator

sophia qureshi

Sophia Qureshi

Provenir

VP, Product Management, Fraud Solutions
Panelists
  • Msimisi Fakudze

    Msimisi Fakudze

    Senior Manager, Fraud Management
  • David Vigar

    David Vigar

    Telesign

    VP Sales
  • Frédéric Dubout

    Frédéric Dubout

    Provenir

    Principal Consultant

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Beyond the Selfie: Why Digital ID&V Isn’t the Silver Bullet for Modern Fraud

Beyond the Selfie:
Why Digital ID&V Isn’t the Silver Bullet for Modern Fraud

In our increasingly digital world, the promise of seamless customer onboarding and instant identity verification (ID&V) has led to the widespread adoption of digital document capture and selfie verification solutions. These technologies, often lauded for their speed and convenience, have undoubtedly revolutionized how businesses interact with their customers, enabling rapid scaling and a vastly improved user experience.

However, as a Fraud Solutions Director, my perspective is clear: digital ID&V, while foundational, is not the silver bullet for combating the sophisticated fraud threats of today.

The belief that a perfect document scan and a convincing liveness check are all that’s needed to secure an identity is a dangerous oversimplification. While these tools excel at verifying the apparent authenticity of a document and the presence of a live individual, they often fall short in detecting the more insidious forms of fraud that are costing businesses billions annually.

The Cracks in the Digital ID&V Facade
Why isn’t doc capture and selfie verification enough?

  • The Proliferation of Deepfakes and AI-Generated Identities:

    Criminals now have readily accessible AI tools that can create incredibly realistic looking documents – from driver’s licenses to passports – in mere seconds. These tools can also generate convincing deepfake videos and images that can bypass basic liveness detection checks. What’s more, when criminals impersonate victims and add their face to a realistic false document, the initial verification step becomes void, as their face will match the fabricated ID, and they can successfully complete any liveness challenge. Relying solely on a visual assessment, whether human or automated, is becoming increasingly risky as the quality of these fraudulent artifacts improves exponentially.
  • Rampant Data Breaches Fueling Identity Fraud:

    Data breaches are a relentless problem, constantly exposing vast quantities of personal identifiable information (PII). This exposure puts consumers at a significantly higher risk of identity fraud. Fraudsters are incredibly skilled at piecing together this compromised data with fabricated details to construct highly plausible synthetic identities, or to facilitate impersonation identity fraud by using real PII with false documents. A single digital ID&V check, which primarily focuses on the visual appearance of a document and a liveness test, is simply ill-equipped to uncover these sophisticated, blended identities that originate from breached data.

  • The “One-and-Done” Pitfall:

    Identity verification is often treated as a one-time event at onboarding. But an individual’s risk profile, or even the integrity of their account, can change dramatically over time. If a solution only focuses on the initial application, it leaves a wide open door for account takeovers or mule activity once the initial check is complete.

  • Lack of Contextual Intelligence:

    Digital ID&V tools are designed to evaluate the document and the selfie in isolation. They don’t inherently connect these data points to a broader network of intelligence – behavioral patterns, device forensics, or historical fraud insights across disparate data sources.

The Imperative:
Catching Those Who Slip the Net

The reality is that a significant number of fraudsters will slip through a purely digital ID&V net. These are the perpetrators behind synthetic identity fraud, sophisticated application fraud, payment fraud, and the initial stages of account takeovers. They often operate in fraud rings, coordinating attacks that individually might appear benign but collectively indicate systemic compromise. The costs associated with these undetected threats are staggering, leading to direct financial losses, reputational damage, increased operational expenses, and an erosion of trust.

This is where a robust, multi-layered fraud prevention strategy becomes not just beneficial, but absolutely critical. It’s about moving beyond simply verifying a document and a face, to understanding the context of the identity, the intent behind the application, and the broader network of activity that might indicate a fraud ring at work.

Building a Fortified Defense

A truly robust solution needs to bridge the gap left by primary digital ID&V checks by providing crucial layers of defense for comprehensive fraud detection and prevention.

Here’s how a comprehensive solution often operates:

  • Intelligent Data Orchestration:
    The first step to catching sophisticated fraud, including fraud rings, is having all the relevant information. A powerful platform seamlessly integrates diverse data sources – beyond just ID&V vendors – including alternative data, traditional credit data, behavioral data, device intelligence, and internal customer history. This holistic view provides the context necessary to spot anomalies and uncover interconnected fraudulent activities.
  • Advanced Machine Learning Models:
    Leveraging this enriched dataset, effective machine learning models are continuously learning and adapting to identify subtle patterns in application data, monitor transaction behavior, and detect suspicious patterns across various fraud types – including the elusive synthetic identity fraud, complex account takeovers, and emergent payment fraud schemes. These ML capabilities are specifically designed to identify anomalies and linkages indicative of fraud rings.
  • Real-Time Decisioning:
    Fraud doesn’t wait, and neither should your detection. A strong platform enables real-time decisioning, allowing businesses to instantly assess risk, approve legitimate applications, or flag suspicious ones for further review, all within milliseconds. This speed is crucial for maintaining a frictionless customer experience while mitigating risk.
  • Customer Profiling and Analytics:
    Beyond the initial check, a comprehensive approach helps build rich customer profiles by consolidating data over time. Analytics tools provide the capabilities to track individual and network behaviors, empowering fraud teams to quickly identify connections and make informed decisions.
  • Flexible Decision Engines:
    The threat landscape is dynamic. A platform’s flexible decision engine should allow businesses to rapidly adjust rules, strategies, and workflows without requiring extensive coding, ensuring they can adapt to new fraud patterns as soon as they emerge.

The Future of Fraud Prevention:
Comprehensive, Not Complacent

Digital ID&V with document capture and selfie verification has its place as an essential first line of defense, offering invaluable speed and convenience. However, in the face of increasingly cunning fraudsters, the proliferation of deepfakes, the continuous threat of data breaches, and the coordinated efforts of fraud rings, relying solely on these methods is akin to leaving the back door open.

The true silver bullet is not a single technology, but a comprehensive, adaptive, and intelligent fraud prevention approach. By integrating diverse data, leveraging advanced machine learning, and enabling real-time, informed decisioning, businesses can build a truly robust defense that catches those who attempt to slip the net, safeguarding their assets and fostering trust in the digital economy.

Reduce friction and prevent fraud losses.

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Beyond Detection: An AI-Powered Approach to Proactive Fraud Prevention

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Financial institutions need the automation, efficiency and pattern-building prowess that artificial intelligence delivers to match fraud’s evolving speed.

As fraudsters continue to exploit new technologies, financial institutions face mounting pressure to outpace increasingly sophisticated threats without compromising customer experience. Traditional fraud detection methods are no longer enough. In this article, Jason Abbott, Director – Fraud Solutions at Provenir, explores how AI-powered decisioning and real-time data orchestration are redefining fraud prevention. Discover how forward-thinking institutions are shifting from reactive defences to proactive strategies—protecting both their customers and their bottom line.

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