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Cybersecurity for iGaming

Keep Your Players, Block the Fraudsters

Prevent account takeovers without compromising the gaming experience.

CrossClassify for iGaming
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Stats on IGaming Breaches

54%

Rise in iGaming Fraud

Online gaming fraud jumped 64% between 2022 and 2024.

$0.0B

First-Party Fraud Losses

In 2024, iGaming operators lost $2.8B — over half from bets under $100

0%

Logins as ATO Attempts

In 2023, 4% of gambling platform logins were takeovers.

Why iGaming Data Security Matters

ATOs Target Player Wallets

ATOs Target Player Wallets

iGaming accounts often store real funds and personal info, making them prime targets for account takeovers. Without active defense, these breaches lead to financial loss and player churn.

Bonus Abuse Wastes Marketing Spend

Bonus Abuse Wastes Marketing Spend

Fraudsters create fake accounts to exploit welcome offers and promotions. CrossClassify blocks these abuse patterns using behavior analysis and device fingerprinting.

VIP Players Require Extra Protection

VIP Players Require Extra Protection

High-value users expect trust and safety. We continuously monitor sessions and devices to prevent hijacks and unauthorized access.

Generic Tools Miss iGaming Fraud

Generic Tools Miss iGaming Fraud

Standard security platforms overlook iGaming-specific attack patterns. CrossClassify is built for the fast-paced, high-risk nature of online gambling.

Solution

Issues We Resolve

We protect your app from the most prevalent cyber attacks

Protect player wallets and loyalty programs from hijackers

Reduces account takeover incidents by up to 68%

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30%

of ATO victims stop playing after a breach

+52%

of iGaming fraud cases involve account takeover

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How We Prevent Account Takeover

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Prevent identity theft and data breaches caused by unauthorized access to user accounts. Account Takeover (ATO) attacks exploit vulnerabilities using tactics like impersonation, keylogging, smishing and phishing, and session hijacking, putting sensitive information and trust at risk.

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Player Monitoring Across Sessions

Track user actions across login, gameplay, and transactions. Detect session hijacks, bet injection, and unusual time patterns in real time.

Player Monitoring Across Sessions Image

Behavioral Insights on Gameplay

Analyze betting, deposit, and withdrawal behavior patterns. Spot bots, risky play styles, and irregular betting activity.

Behavioral Insights on Gameplay Image

Multi-Account Link Detection

Expose accounts sharing devices, IPs, or funding sources. Prevent collusion, referral fraud, and bonus stacking.

Multi-Account Link Detection Image

Compliance

From Compliance to Trust

Anti-Money Laundering (AML) Regulations

Require iGaming companies to detect and prevent money laundering activities by implementing robust monitoring and reporting systems

  • Resorts World Las Vegas: Agreed to pay a $10.5 million fine over purported AML failures, marking the second-largest penalty in Nevada's history.

Anti-Money Laundering (AML) Regulations

General Data Protection Regulation (GDPR)

Mandates the protection of EU citizens' personal data, requiring iGaming operators to implement stringent data handling and breach notification protocols

  • 888 Holdings: An 888 subsidiary reached a settlement worth £2.9 million with the Gibraltar Gambling Commissioner over VIP-related failings in the Middle East.

General Data Protection Regulation (GDPR)
Medical

Why Us

Choose CrossClassify for iGaming Products

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Real-Time Protection During Gameplay

Real-Time Protection During Gameplay

We secure player accounts, bet placements, and wallet actions instantly. Prevent session hijacks, in-game fraud, and suspicious withdrawals as they happen.

iGaming-Focused Fraud Detection Models

iGaming-Focused Fraud Detection Models

Unlike generic solutions, our engine understands iGaming behaviors. Detect bonus abuse, chip dumping, bot-assisted play, and syndicate betting at scale..

Frictionless Onboarding for Players

Frictionless Onboarding for Players

No added steps for trusted users. We identify risk silently in the background, so high-value players get quick access to deposits and gameplay.

Frequently asked questions

iGaming fraud refers to malicious activities that exploit online gambling, sports betting, or casino platforms. Common examples include bonus abuse, multi-accounting, account takeover, payment fraud, and bot-driven abuse of promotional offers.

CrossClassify uses:

  • Device fingerprinting to spot duplicate and emulated devices
  • Behavioral analytics to flag suspicious in-game or betting actions
  • Real-time risk scoring to stop fraud before it reaches your payment gateway
  • Bot detection to prevent automated abuse of promotions or tournaments

Bonus abuse happens when a user (or fraud ring) signs up multiple times to exploit welcome bonuses, referral rewards, or free bets. It results in financial loss, data pollution, and increased manual review costs. CrossClassify detects multi-accounting and behavioral patterns that reveal abuse.

iGaming fraud detection software analyzes user activity, device behavior, and interaction patterns to flag high-risk players. CrossClassify goes beyond IP checks and static rules by using AI, device intelligence, and behavioral modeling to adapt to emerging threats.

Our platform detects bots through:

  • Anomalous mouse movements and copy-paste actions
  • Velocity of clicks and actions
  • Headless browser or emulator usage
  • Repeated interactions from the same device fingerprint
    Helps stop bots from hijacking leaderboards, abusing spins, or auto-claiming bonuses.

The iGaming industry faces:

  • Credential theft via phishing or data breaches
  • Account takeover (ATO) from reused passwords
  • Payment fraud using stolen cards
  • Reputation risk due to lax fraud controls
    CrossClassify delivers pre-login and post-login security without affecting user experience.

Yes—with the right tools. CrossClassify detects:

  • Shared device fingerprints
  • Suspicious behavioral similarities
  • Login patterns from fraud farms or proxy networks
  • Overlapping session attributes across accounts

We use invisible protection—no captchas or user friction. Instead, we analyze risk behind the scenes using non-intrusive data like browser, device, network, and behavior signals. Legitimate players stay safe and uninterrupted.

Key features include:

  • Real-time fraud detection
  • Low false-positive rates
  • Scalability during peak events
  • API integration with payment and gaming platforms
  • Protection across signup, login, and gameplay

CrossClassify checks every box—built for modern iGaming demands.

Pattern CrossClassify

Let’s Get Started

Elevate your iGaming app's security with CrossClassify. Schedule a personalized demo to see how we protect customer accounts and ensure compliance with industry standards.

CrossClassify

Fraud Detection System for Web and Mobile Apps

GDPR Ready imageGDPR Ready
SOC 2 Type II imageSOC 2 Type II (in progress)
Contact+61 424-202-328hello@crossclassify.com

25 King St, Bowen Hills, Brisbane QLD 4006, Australia

25 King St, Bowen
Hills, Brisbane QLD
4006, Australia


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