When Gambling Fraud Algorithms Get It Wrong: France Sets a Higher Bar for Freezing Accounts and Winnings

France has put an increasingly important question in online gambling under the regulatory microscope: what happens when a fraud-detection system gets a player wrong?

On 31 August 2026, France’s Autorité Nationale des Jeux (ANJ) published new guidance explaining how regulated gambling operators should handle suspected player fraud, including what evidence may be required before an operator closes an account or takes action involving a player's balance.

The development matters beyond France.

Modern gambling platforms increasingly depend on automated KYC, device analysis, transaction monitoring and risk-scoring systems. These technologies can identify genuine fraud quickly, but they can also create false positives.

A player logging in from an unusual location, using a shared internet connection or changing payment details can suddenly look suspicious to an automated system.

France's message is increasingly clear: detecting suspicious behavior is one thing; proving fraud is another.

ANJ Wants Evidence, Not Just Suspicion

The ANJ guidance does not create an entirely new regulatory regime. Instead, it is a soft-law compliance guide intended to clarify existing requirements and how operators should deal with suspected fraud on a case-by-case basis.

Most importantly, the regulator stresses the need for operators to collect sufficiently probative evidence before characterizing player behavior as fraudulent.

The distinction matters.

An automated fraud engine might produce a risk alert, but an alert should be treated as the beginning of an investigation rather than necessarily the conclusion.

ANJ's review of French case law illustrates why. In disputes involving multiple accounts, for example, an IP address can form part of the evidence, but a shared IP address by itself may not establish that one person controls several accounts. Courts have looked at combinations of factors including devices, IP addresses, timing and similarities in gambling behavior.

The ANJ guidance even notes that use of the same device by family members is not, on its own, enough to prove account sharing.

For casino-app reviewers, this is an important principle: fraud technology should identify risk without automatically replacing human judgement.

What Types of Gambling Fraud Are Covered?

ANJ's 29-page guidance addresses several categories of player fraud, including:

The regulator also distinguishes between deliberate fraud and simple mistakes. Incorrect information entered during registration, for example, should not automatically be treated as fraudulent where it could reasonably be a data-entry error.

That distinction becomes particularly important as KYC becomes more automated.

The False-Positive Problem in Gambling Apps

CasinoAppReview believes this is where the French development becomes particularly interesting from a technology perspective.

Fraud detection has evolved rapidly.

Online gambling platforms can analyze combinations of account, payment, device and behavioral data to identify activity that differs from normal patterns. The objective is understandable: operators must protect accounts, prevent identity theft, combat money laundering and stop collusion and payment fraud.

But risk detection inevitably produces borderline cases.

Consider two people in the same household who use the same laptop and Wi-Fi connection.

Their accounts could share an IP address and device characteristics without either person doing anything fraudulent. ANJ's guidance specifically recognizes this problem: the same device used by related people is not sufficient by itself to establish account sharing.

That has implications for the increasingly sophisticated device-fingerprinting and behavioral-risk systems used across online gambling.

The best fraud technology should therefore answer two different questions:

Is this activity unusual?

and

Is there sufficient evidence that this activity is fraudulent?

Those are not the same question.

Withholding Winnings Requires Particular Care

The most consumer-relevant part of the ANJ approach concerns what happens to money once fraud has actually been established.

The regulator differentiates between money connected to fraudulent activity and other funds legitimately belonging to the account holder.

For example, in poker fraud cases, ANJ recommends that operators clearly provide in their terms for the redistribution of winnings improperly obtained from other participants. However, a remaining balance should generally be returned to the account holder before closure unless the operator can demonstrate that this residual balance is also affected by fraud.

Similar principles appear in cases involving manipulated sporting events: fraudulent bets may be canceled, but an unaffected residual balance should generally be returned unless there is evidence that those funds are themselves connected to fraud.

This is a significant consumer-protection principle.

Finding fraud in one part of an account does not automatically mean every euro in the account becomes fraudulent.

Why This Should Change How Gambling Apps Are Reviewed

Casino reviews traditionally concentrate on withdrawal speed.

That is useful, but it does not tell the whole story.

A platform can advertise "instant withdrawals" while still having an opaque risk-management process capable of putting withdrawals under review for days or weeks.

Our view is that modern gambling-app reviews increasingly need to examine a broader concept: withdrawal reliability.

That includes questions such as whether the operator explains why withdrawals can be reviewed, whether additional KYC requirements are disclosed, how fraud investigations are communicated, and whether customers have access to an effective complaints procedure.

For reviewers, an unexplained account freeze should not automatically prove that an operator is acting unfairly. Gambling companies have substantial fraud, AML and account-security obligations.

But equally, "security review" should not become a catch-all explanation for withholding legitimate balances indefinitely.

France's approach illustrates the balance regulators increasingly need to strike.

Fraud Detection Is Also a Cybersecurity Issue

The ANJ guidance highlights another important aspect of modern gambling security: sometimes the apparent "fraudulent player" may actually be the victim.

Account takeover can involve phishing, stolen login credentials, malware, unauthorized device access or exploitation of platform vulnerabilities.

This changes the risk equation considerably.

A sudden change in device, location, or withdrawal behavior might indicate that a customer is committing fraud. But it could also indicate that somebody else has compromised the customer's account.

For gambling apps, authentication architecture therefore becomes part of player protection.

Players should increasingly expect strong security around high-risk actions, especially withdrawals, password changes and modifications to banking information.

For CasinoAppReview, security assessments should consequently move beyond whether a website displays SSL encryption. Account authentication, withdrawal verification, login monitoring and procedures for compromised accounts are becoming much more meaningful indicators.

France Is Increasing Its Use of Algorithms - on Both Sides

There is an interesting contradiction emerging in France.

While ANJ is warning operators about the evidential standards needed when dealing with suspected fraud, the regulator itself is becoming increasingly sophisticated in its use of algorithms.

In May 2026, ANJ revealed an algorithm designed to identify potentially excessive gambling among account-based players.

The results were striking.

The system identified approximately 600,000 players with a high probability of excessive gambling, equivalent to 8.7% of registered account-based players.

According to ANJ's methodology, these players generated approximately €1.2 billion in gross gaming revenue, representing around 60% of the relevant GGR measured by the regulator.

ANJ also estimated that roughly 300,000 players showed sufficiently strong characteristics that operators should identify them as excessive gamblers.

The regulator stresses that its algorithm is not designed to calculate the exact prevalence of gambling harm in the French population. Instead, it acts as a compliance benchmark that operators can compare with their own detection systems.

That qualification is important.

An algorithm produces a risk assessment, not necessarily an unquestionable statement of fact.

The €500,000 Warning to Operators

France has also demonstrated that its technology-driven regulatory approach is backed by enforcement.

In July 2026, ANJ announced a €500,000 sanction against an unnamed licensed online gambling operator for failures relating to the identification and support of excessive or pathological gamblers.

Regulators examined 30 player accounts presenting clear indicators of excessive gambling.

According to ANJ, the operator failed to identify the appropriate risk level for almost all of the players examined and did not implement sufficiently graduated and proportionate interventions.

The combination of the €500,000 sanction, ANJ's excessive-gambling algorithm and its new fraud guidance reveals where French regulation is heading.

Operators are increasingly expected to use technology to detect risk, but they are also expected to use that technology intelligently.

A New Standard for Casino App Trust?

The implications extend beyond France.

Online gambling is entering an era in which algorithms can influence whether a player receives a promotion, is asked for additional verification, has a transaction reviewed, receives a responsible-gambling intervention, or temporarily loses access to an account.

That creates an important new dimension of gambling regulation: algorithmic accountability.

CasinoAppReview expects this to become a bigger issue in 2027.

Regulators are unlikely to demand less fraud detection. Quite the opposite. AML requirements, cybersecurity risks, identity theft and payment fraud are likely to drive further investment in automated monitoring.

The challenge will be ensuring that those systems do not become black boxes.

Operators that can combine sophisticated fraud detection with transparent investigation procedures, strong account security and meaningful human review may ultimately gain an advantage over platforms that simply freeze first and explain later.

What Players Should Look For

When assessing the security and withdrawal policies of an online gambling platform, CasinoAppReview recommends checking more than headline payout speeds.

Players should look at the operator's KYC policy, circumstances in which additional verification can be requested, account-security features, withdrawal review procedures, terms covering suspected fraud, and the availability of a formal complaints process.

An operator asking legitimate security questions is not necessarily a warning sign.

An operator that cannot explain why it is withholding money is a much bigger one.

CasinoAppReview Verdict

France's August 2026 guidance represents an important evolution in the relationship between gambling technology and consumer protection.

The principle behind it is straightforward: operators need powerful systems capable of detecting fraud, but suspicion generated by technology should not automatically become proof.

That matters increasingly as gambling platforms adopt more sophisticated risk scoring, automated KYC and behavioral monitoring.

For CasinoAppReview, it also suggests that the industry's traditional definition of a "safe casino app" needs to evolve.

Security is no longer simply encryption, licensing and payment protection.

It is also about what happens when the security system decides that you are the problem.

And in 2027, how gambling companies handle that moment may become one of the most important measures of player trust.

Sources

Autorité Nationale des Jeux. (2026, August 31). Lutte contre la fraude par les opérateurs de jeux d’argent et de hasard : un guide pour mieux traiter les cas de fraude. ANJ.

Autorité Nationale des Jeux. (2026). Guide en matière de lutte contre la fraude par les opérateurs de jeux d’argent et de hasard. ANJ.

Autorité Nationale des Jeux. (2026, May 13). L’algorithme développé par l’ANJ révèle un nombre de joueurs excessifs inquiétant et en croissance. ANJ.

Autorité Nationale des Jeux. (2026, July 15). Sanction de 500 000 € à l’encontre d’un opérateur de jeux d’argent en ligne pour manquements à ses obligations d’identification et d’accompagnement des joueurs excessifs ou pathologiques. ANJ.

Autorité Nationale des Jeux. (2026, April 28). Le médiateur des jeux publie son rapport d’activité 2025. ANJ.