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How One Bonus-Abuse Network Created $3.2m in Fraud Exposure
Exclusive interview with LexisNexis Risk Solutions’ Sean Britt on the rise of bonus abuse, how fraud networks operate and how one network created $3.2m in exposure.
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Credit: LexisNexis Risk Solutions
Bonus abuse has overtaken every other fraud category in gaming, but the reason isn't one big heist, it's thousands of small, deliberately unremarkable ones.
Sean Britt, Senior Director of Global Gaming Markets at LexisNexis Risk Solutions, walks SportsBoom through how a network builds, cashes out, and rebuilds itself, and how one operation alone generated a $3.2 million exposure figure.
Ask most people to picture gambling fraud, and they'll picture a single dramatic transaction, a stolen card, a huge withdrawal, a name on a blacklist. Bonus abuse doesn't look like that. It looks like dozens, sometimes tens of thousands, of ordinary-looking new-customer sign-ups, each one claiming a welcome offer that was never meant for them.
According to Britt, the lifecycle runs in six repeatable stages.
- 1
A new identity is presented. It rarely starts from nothing. "The participant may falsify personal information, use stolen credentials or assemble a synthetic identity. Payment cards may be stolen as well," Britt explains. "Due to the number of breaches over the last several years, consumer information, including complete and real pictures of passports and driver's licenses, is available for purchase via the dark web and other nefarious marketplaces."
- 2
The account clears a fragmented sign-up process. The goal isn't to look legitimate forever, just long enough. "The network attempts to disguise relationships between accounts by changing identity attributes, email addresses, telephone numbers, devices and network locations," Britt says. "VPNs and proxies may conceal location, while multiple devices help prevent accounts from appearing obviously connected."
- 3
The account claims the incentive. Simple, but this is the whole point of the exercise. "The economic aim is to unlock value intended for a genuine newcomer," Britt says.
- 4
The network protects its capital. Rather than risk their own money, "the fraudster hedges a sports bet, cashes out an unhedged bet or plays through casino products, risking the promotional value rather than their own money," according to Britt.
- 5
Cash out, then repeat through another account. This is where scale turns small individual amounts into a serious aggregate problem. "Account details may be exchanged within criminal networks and coordinated participants may match bets or otherwise collude," Britt says. "The economic impact becomes material through repetition and scale rather than through one especially large transaction."
- 6
The pattern reappears, disguised. "This is why a point-in-time passed identity check is insufficient," Britt says, "and [why] a persistent identity approach can reveal recurring underlying identities even when contact details and account attributes change."
The $3.2 million figure, explained
The scale of what this can add up to, in a single case, is stark.
"Using our global contributory network intelligence and our patented linking technology, LexisNexis Risk Solutions connected more than 95,000 fraud events to a single bonus-abuse instance or network," Britt told SportsBoom.us in an exclusive interaction.
"That linked activity represented fraud exposure of up to $3.2 million."
Crucially, that isn't an industry aggregate or a composite of several rings dressed up as one number, SportsBoom put the question directly to Britt, and he was unambiguous: "The 95,000 events were tied to a single abuse network, representing exposure of up to $3.2 million."
Why bonus abuse, and why now
Account takeover and payment fraud are the categories that usually dominate the conversation.
Britt identifies four reasons bonus abuse has overtaken them:
- 1
It's built into the business model. Promotions are how operators acquire customers, and those same commercial features create a repeatable monetary opportunity for organised abusers.
- 2
It scales horizontally, not vertically. Where account takeover generally requires compromising one specific existing account, bonus abuse can be repeated across many apparently new accounts by rotating identity, email, phone, device and location signals, with growth partly attributed to how easy it now is to obtain new phone numbers and email addresses.
- 3
It hides in plain sight across categories. Bonus abuse can incorporate multi-accounting, stolen credentials, synthetic identities, suspicious payment methods, device manipulation and collusion, treating those as separate alerts risks missing the network connecting them.
- 4
Individual events look small. Forty per cent of respondents placed their average unprevented fraudulent transaction between $50 and $99, and 27% reported $100 to $199, numbers that stay under the radar individually while adding up significantly in volume.
Is it evenly spread across the market? Not provably, either way.
"The research demonstrates a broad cross-market issue but does not prove uniform distribution or identify a statistically higher-risk state or vertical," Britt says.
"The survey included organizations ranging from fewer than 50 employees to more than 1,000, and respondents represented companies across several revenue bands. Platform coverage included online casinos for 81% of respondents, sports betting for 66%, live casino for 62%, slots for 58%, online poker for 45%, esports betting for 19% and lottery for 15%."
How the fraud profile has matured since early legalisation
SportsBoom asked Britt how the challenge has shifted as US state markets have matured beyond the early post-PASPA years.
"The most supportable interpretation," he says, "is that the challenge has moved from primarily verifying whether a new customer is legitimate to understanding whether apparently separate customers, devices and transactions are part of the same persistent network. The current leading concerns are multi-accounting and detecting stolen or synthetic identities, while operators also want real-time detection, stronger document authentication, improved analytics and easier integration."
He frames the shift in five parallel movements:
From individual events to connected networks
From static KYC to continuous risk assessment
From basic identity matching to device, behavioural and relationship intelligence
From isolated sign-up controls to end-to-end monitoring across account creation, deposit, login and withdrawal
From simple rule flags to risk segmentation and orchestration
Are newer states repeating the mistakes early movers like New Jersey and Pennsylvania already worked through?
Britt's answer is nuanced rather than reassuring: the defensive playbook is moving faster between operators than it did the first time round but knowing the playbook and running it well aren't the same thing.
"The major gap is usually not awareness of KYC, device or payment controls," he says. "It is whether those signals are integrated, evaluated in real time and connected across the full player lifecycle.”
Larger, established operators are "generally better positioned to combine telemetry, maintain specialized fraud operations and absorb integration costs," while newer or smaller operators are "more likely to rely on vendor-specific point checks, manual review and static policy thresholds.”
As Britt puts it: "The decisive capability is not simply 'more KYC.' It is connected, persistent and risk-based decisioning across identity, device, behavior, transactions, payments, AML and responsible gaming.”

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