Bonus abuse eating the promo budget, colluding players you can't quite see, chargebacks stacking up, accounts being taken over — online gaming moves money too fast for a policy pack to help. We build the detection: graph linking, behavioural analytics and custom fraud engines that run against your real money flows. We find the holes the Big Four don't.
Online casinos, wagering platforms and iGaming products face a fraud surface almost no other sector matches — because the product itself is a fast, reversible, near-cash money movement. Here is where the money leaks.
Sign-up offers, reloads and free bets are designed to acquire genuine players. Professional bonus-hunters extract that value systematically — opening account after account to claim the same offer, turning a marketing budget into a payout to abusers.
One person quietly running a stable of accounts — to farm promotions, evade limits or move value between them. Where a single controller operates many accounts to harvest bonuses, it is sometimes called Gnoming. It is invisible until you link the accounts.
In poker and peer-to-peer play, colluding players share information or deliberately lose to a chosen recipient so value shifts between accounts under the cover of the game. It's a game-integrity problem and a value-transfer channel at once.
Offsetting bets — a back with you, a lay elsewhere — convert promotional credit into near-guaranteed value with almost no real risk. Not illegal, but it hands your promo spend to hedgers instead of real customers.
Stolen and compromised cards fund accounts; the genuine cardholder later disputes the deposit, leaving you with a chargeback and, frequently, an already-withdrawn balance. Velocity and instrument-linking are the defence.
Attackers compromise legitimate customer accounts to drain balances, change withdrawal details or exploit stored payment methods. The signal is a shift in device, location or behaviour that doesn't fit the established customer.
Deposit, minimal or offsetting play, withdraw as "winnings" — funds cycle through the product at speed and low real exposure. The same velocity that delights genuine players buries the flows that shouldn't be there.
Amounts kept just under thresholds, split across time and accounts. And the same data that flags financial-crime risk — deposit velocity, source of funds, unusual play — is also a responsible-gambling harm signal. Handled apart, both programs miss it.
Regulators treat gambling as high-risk for structural reasons, not because operators are careless — the risk is baked into the product. Three features do most of the work. High velocity: deposits, bets and withdrawals happen continuously and around the clock, compressing the window a control has to decide in and burying suspicious flows inside enormous volumes of ordinary play. Near-cash stored value: a gaming balance behaves like cash — liquid, transferable within the product, and one step removed from the banking system, which is exactly where fraud and laundering like to operate. Ease of moving funds in and out: the payment rails that make deposits frictionless for genuine customers make it just as easy to inject illicit funds, cycle them through minimal play, and extract them dressed up as a win.
The common thread across nearly every risk above is relationships the operator is not meant to see — between accounts, devices, payment instruments and beneficiaries. Multi-accounting, Gnoming, collusion, chip dumping, mule funding and organised bonus abuse all rely on the platform treating linked accounts as strangers. Reveal the relationships and most of these problems become visible at once. That is an engineering problem, and it is the one we solve.
Financial Crime Advisory is engineering-led. We don't hand you a framework and leave — we build the systems that find related accounts, read betting patterns and follow the money, then wire them into your platform. Explore the full capability set on our services page.
Bespoke fraud and risk engines built for gaming money flows — rules, scoring and models tuned to your products, integrated with your stack rather than bolted on and shelved.
Device and browser fingerprinting, IP and network analysis, shared payment-instrument and identity-attribute matching, assembled into a relationship graph so a single controller behind many accounts becomes a visible cluster.
Models of how customers actually play, flagging minimal-risk or offsetting betting, turnover that dwarfs real exposure, hedging that neutralises a promotion, or a sudden break from a customer's established behaviour.
Hand-history and betting-sequence analysis combined with account graph linking — improbable folds, one-directional value flow, and clusters of accounts that share devices, networks and tables.
Payment-instrument linking, deposit and withdrawal velocity rules, withdrawal holds, plus authentication, step-up and device-and-behaviour signals that stop takeover at the front door.
Design, tune and validate monitoring so you catch what matters and stop drowning in false positives — aggregation logic, thresholds and model assurance that produce a caseload an analyst can actually work.
When an off-the-shelf platform can't see your specific abuse, we build the tooling that can — real-time scoring services, graph pipelines and APIs engineered for your product.
Application, cloud and infrastructure security, secure architecture and pentesting across the systems that move and hold player funds — because a fraud engine on a soft platform is only half a defence.
Detection in gaming succeeds or fails on one capability: the ability to see that ostensibly separate accounts, devices and payment instruments are in fact related. Rules that fire on single transactions generate noise; detection built on relationships and behaviour over time generates fewer, better alerts. We tune for the pattern — high fund turnover with low real exposure, value that consistently converges on one beneficiary, a cluster that always plays together — and accept the false positives you can afford, so the output is a defensible set of account-action and reporting decisions rather than an unworkable flood of flags.
On the regulatory side — we support it, we don't lead with it. Gaming and wagering operators that provide designated services are reporting entities under Australia's AML/CTF regime, with AUSTRAC obligations around KYC, monitoring, suspicious matter reports and enhanced due diligence. The good news is that the detection we build feeds that program directly: the same account-linking and behavioural monitoring that protects your promo budget and cuts chargebacks also strengthens transaction monitoring and source-of-funds work. If you want a deeper read on the AML typologies, our long-form guide on AML and fraud in online gaming and casinos walks through them. But our centre of gravity is the security and fraud engineering — finding the holes in the product and closing them with software that runs.
The biggest losses come from bonus and promotion abuse through multi-accounting and Gnoming, matched and arbitrage betting against promotions, payment fraud and chargebacks from stolen cards, and account takeover of genuine customers. Underneath most of these sits one problem — related accounts, devices and payment instruments the operator is not meant to see. Reveal the relationships and the losses become visible and addressable at once.
By linking accounts that look separate. We build device and browser fingerprinting, IP and network analysis, shared payment-instrument detection and identity-attribute matching into a relationship graph, so one person running a stable of accounts to farm sign-up offers surfaces as a single cluster. Betting-pattern analytics then catch matched and arbitrage betting that hedges away real risk while still qualifying for the promotion.
Yes. Chip dumping and collusion hide inside the rules of the game, so detection combines hand-history and betting-pattern analysis — improbable fold and bet sequences, one-directional value flow between the same players — with graph linking of accounts that share devices, networks, payment instruments or a habit of always sitting at the same tables. A confirmed dumping cluster is both a game-integrity action and, often, a reportable AML matter.
We build. Financial Crime Advisory is an engineering-led firm — we develop the fraud engines, graph-linking services, behavioural analytics and monitoring tuning that run against your real money flows, and integrate them with your platform. We are not a Big Four practice handing you a policy pack. We find the holes in your product and close them with software that actually runs.
We support the regulatory side, but it is not the centre of what we do. Our focus is the security and fraud engineering — detection, prevention and the systems that stop losses. The same monitoring and account-linking we build for fraud also feeds transaction monitoring, suspicious matter reporting and enhanced due diligence, so the AML program benefits from the detection rather than sitting apart from it.
Bonus abuse draining the promo budget, chargebacks climbing, or collusion you can't quite see — tell us how money moves through your product and we'll tell you where the holes are and what to build first.