Betting News
Betting News
Interview
Gambling
News

81% Figure Highlights the Growing Fraud Prevention Challenge for Gambling Operators

Sean Britt of LexisNexis Risk Solutions explains how gambling operators can balance fraud prevention, customer friction and growth, while exploring the future of behavioural scoring and real-time risk decisioning.

5 minutes read
Louis Hobbs
Louis Hobbs
Sports Editor

SportsBoom offers honest and impartial bookmaker reviews to help you make informed choices. While we may earn commissions through affiliate links, our content remains independent and free from promotional influence. For more information, see our Content Transparency and How We Review pages.

Every extra verification step is a chance for a customer to abandon sign-up or switch to a competitor.

In the second half of our conversation with Sean Britt of LexisNexis Risk Solutions, we look at how operators are squaring tighter fraud controls with growth, and where the fraud-prevention product roadmap heads next.

The 81% figure, and where it actually bites

It's tempting to read "81% will abandon over friction" as one clean statistic. It isn't. 

"The report measures two related but different things," Britt clarifies in an exclusive interview with SportsBoom.us. 

"Eighty-one per cent (81%) said moderate friction was sufficient to cause abandonment of the registration process. Sixteen per cent (16%) cited low friction, and 2% cited high friction. In a separate question about where excessive friction causes customers to switch platforms, 72% selected both onboarding and withdrawal, 19% selected withdrawal only and 10% selected onboarding only. The correct interpretation is that moderate registration friction is highly sensitive, while competitive switching is usually a two-endpoint problem. Among respondents who selected only one stage, withdrawal was nearly twice as commonly selected as onboarding, 19% versus 10%, but the dominant answer was both."

Tech problem, policy problem, or both

Britt doesn't let operators off the hook by calling this purely a technology question. 

"It is both," he says. 

"Technology determines whether controls can operate passively, connect signals and make real-time decisions, while Policy determines whom to challenge, when to challenge them and what evidence is sufficient. Applying the strongest verification to every player creates unnecessary abandonment. Applying weak controls universally allows organized networks to scale. The operating objective should be passive assessment for most customers, selective step-up verification for uncertain cases, and intervention or blocking for high-risk cases."

On the ground, operators are leaning on a mix of tools to manage the regulatory-friction balance: compliance automation (61%), streamlining KYC (58%), customer support during KYC (53%), compliance specialists (49%), alternative verification methods (32%) and regulatory technology (30%).

Is anyone actually nailing the balance? Britt is careful not to crown a winner. 

"As far as is anyone getting this right, that is not a question that a provider can answer because that balance and the desired outcome is going to vary by operator and its risk posture," he added. 

But he does sketch what a workable version looks like operationally: "the components of a balanced workflow need to include combining device, behavioral and email intelligence at web sign-up. Signals included behavior mismatch, suspicious email domains, short-lived identity data, weak historical linkage, account-age and location discrepancies, devices linked to multiple accounts, and IP/geolocation inconsistencies. Risky accounts were flagged or blocked, while trusted users continued without interruption."

What behavioural scoring catches that KYC alone misses

KYC answers one question: can this submitted identity be verified right now? Behavioural scoring asks a different one. How does this customer or device behave over time? 

Britt is clear that the two aren't rivals: behaviour should complement KYC, not replace it. It can surface:

  1. 1

    Behaviour inconsistent with a device's normal pattern

  2. 2

    Unusually rapid or repeated account creation

  3. 3

    The same device appearing across multiple nominal identities

  4. 4

    Transaction activity deviating from previous behaviour

  5. 5

    Account relationships only visible once digital, identity and transaction signals are linked

The case study behind this research specifically flagged behaviour mismatch, devices connected to multiple accounts, bulk promotion abuse, repeated sign-ups, payment-testing behaviour and transaction anomalies as signals that go beyond what basic identity verification alone can catch.

Where the roadmap heads next

Asked for a timeline on when faster withdrawal automation and behavioural scoring go from leading-edge to standard, Britt won't put a date on it. 

"The research does not support an adoption forecast or date," he says, "but my strategic assessment is that these capabilities will become increasingly normal first among larger, high-volume digital operators”, with wider adoption gated by seven friction points: fragmented identity, device, payment and case-management systems; insufficient historical labels and linked-network data; false-positive concerns; regulatory explainability and documentation requirements; privacy constraints around data collaboration; integration cost and operational ownership; and inconsistent treatment of risk across onboarding and withdrawal.

His 12–24 month roadmap for the category:

  1. 1

    Persistent player identity: Connecting identity, accounts, devices, locations, payments and behavioural history to the same underlying player or network.

  2. 2

    Real-time, journey-wide decisioning: Applied at registration, deposit, login, promotional qualification and withdrawal, not just onboarding.

  3. 3

    Risk-based orchestration: Trusted players proceed, uncertain cases get challenged, high-risk activity gets stopped; no universal maximum friction.

  4. 4

    Network and consortium intelligence: Currently under-used. "Only one in five respondents currently shares fraud data," Britt notes, despite participants reporting reduced fraud incidents (81%), better customer experience (79%), faster detection (63%) and lower operating costs (42%) among those who do; the main barriers are privacy concerns (61%), insufficient resources (40%), lack of awareness (37%), regulatory restrictions (34%) and questions about value (31%). 

  5. 5

    Stronger document and synthetic-identity defences: Multi-accounting and stolen/synthetic identity detection rank as the two hardest prevention challenges, a problem compounding as breached driver's licence and passport data floods dark-web markets. 

  6. 6

    Automated withdrawal risk with explainable controls: Decisions weighing identity consistency, device history, transaction behaviour, funding/withdrawal relationships, account age and network links, with a documented escalation path for exceptions. 

Britt's closing line is worth keeping as the piece's final note: "The next generation of gaming fraud prevention will not be won by adding more friction or another isolated verification check. It will be successful when identity, device, behavioral and transaction intelligence is connected across the player lifecycle, recognizing networks rather than individual events, and reserving the strongest intervention for the small proportion of activity that presents genuine risk. That is how operators can improve both fraud outcomes and the customer experience.”

Louis Hobbs
Louis HobbsSports Editor

Meet Louis Hobbs, our resident sports guru with a knack for all things darts and snooker. His expertise goes beyond the ordinary, offering deep insights that set him apart. Louis also has a strong passion for US sports, particularly basketball and American football.

Comments

0 comments

💬

No comments yet. Be the first to share your thoughts!