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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% in a two-year span.

$0.0B

First-Party Fraud Losses

iGaming operators lost $2.8 billion, with over half the losses coming from bets under $100.

0%

Logins as ATO Attempts

Around 4% of gambling platform logins have been takeover attempts.

Why iGaming Data Security Matters

Account Takeover Leads to Asset Theft

Account Takeover Leads to Asset Theft

When player accounts are compromised, wallets, skins, and reputations are at risk. CrossClassify uses adaptive authentication and behavior monitoring to stop account takeover in online gaming platforms before damage occurs.

Bonus Abuse Erodes Operator Profits

Bonus Abuse Erodes Operator Profits

Fraudsters use fake accounts or multi-accounting to exploit sign-up promotions and deposit bonuses, draining marketing budgets. CrossClassify detects bonus abuse in iGaming platforms by profiling user behavior and blocking suspicious promo loops.

Multi-Account Fraud Skews Gameplay Fairness

Multi-Account Fraud Skews Gameplay Fairness

Repeat account creation inflates user metrics, enables chip dumping, and distorts leaderboards in competitive gaming. Our platform detects multi-accounting in online gaming systems through link and device intelligence.

In-Game Bots Threaten Player Trust

In-Game Bots Threaten Player Trust

Automated bots manipulate in-game economies and ruin real-player experiences across multiplayer environments. CrossClassify enables bot fraud prevention for online gaming operators, ensuring fair play and real-time detection.

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

Learn More  ❯

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.

Learn More  ❯

Continuous Monitoring for iGaming Sessions

In fast-paced iGaming environments, fraud can occur post-login during gameplay or wallet interactions. CrossClassify enables continuous monitoring for online gaming platforms, detecting suspicious behavior across player sessions, from signup to withdrawals. This ensures uninterrupted risk scoring that adapts in real time to evolving threats like bonus abuse or account takeover .
Continuous Monitoring for iGaming Sessions Image

Behavior Analysis for Gaming Activity

Player behavior varies across gaming genres and formats, making static rules unreliable. CrossClassify uses behavioral analysis in iGaming fraud detection to learn individual player habits, flagging anomalies like login pattern shifts, wager abuse, or bot-like interactions. This approach stops fraud that bypasses traditional authentication.
Behavior Analysis for Gaming Activity

Geo Analysis for Cross-Region Promo Abuse

Fraudsters often exploit geo-restricted promotions using VPNs and multi-accounting tactics. Our geo analysis for online gaming fraud detection identifies impossible travel scenarios, device mismatches, and fraudulent location claims to stop cross-border abuse.
Geo Analysis for Cross-Region Promo Abuse Image

Link Analysis for Multi-Account Gaming Fraud

Multi-accounting is a major threat in online casinos and esports betting. CrossClassify’s link analysis for iGaming account fraud uncovers hidden connections between users, shared devices, payment methods, and IPs—exposing fraud rings and bonus abuse loops.
Link Analysis for Multi-Account Gaming Fraud Image

Enhanced Security and Accuracy for Gaming Operators

Traditional fraud tools often miss dynamic threats like bot activity, promo abuse, or session hijacking. CrossClassify delivers enhanced fraud detection accuracy for iGaming platforms by layering device intelligence, behavioral scoring, and player risk profiles for superior threat precision.
Enhanced Security and Accuracy for Gaming Operators Image

Seamless Integration with Gaming Tech Stacks

CrossClassify fits effortlessly into your iGaming infrastructure, from sportsbook engines to casino management systems. Our fraud prevention API for online gaming integration supports fast deployment with minimal friction—ensuring protection doesn’t slow down your product velocity.
Seamless Integration with Gaming Tech Stacks Image

Real-Time Alerting and Notification for Fraud Incidents

Gaming platforms need instant visibility into risk spikes—from high-velocity betting to login anomalies. CrossClassify’s fraud alerting system for iGaming platforms notifies your security team the moment suspicious activity is detected, enabling proactive resolution before financial loss.
Real-Time Alerting and Notification for Fraud Incidents

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

Contact Us
Built for iGaming Risk

Built for iGaming Risk

Unlike generic cybersecurity tools, our platform is purpose-built to combat iGaming fraud vectors like bonus abuse, fake account creation, and chip dumping. We monitor every phase of the player lifecycle to identify threats unique to online casinos, betting apps, and game marketplaces.

Multi-Account & Bot Defense

Multi-Account & Bot Defense

We specialize in identifying multi-account fraud and in-game bot behavior through advanced device fingerprinting, session correlation, and link analysis. This protects operators from manipulation of tournaments, leaderboards, and affiliate programs.

Frictionless Player Experience

Frictionless Player Experience

We deliver fraud detection for iGaming with no impact on player satisfaction. Real-time monitoring allows for invisible defense against threats without interrupting onboarding, gameplay, or payment flows.

Frequently asked questions

A robust iGaming fraud prevention solution uses advanced AI, behavioral analysis, and device intelligence to detect and stop threats like account takeover, bot activity, and bonus abuse. CrossClassify’s iGaming fraud prevention platform offers real‑time risk scoring, behavioral fingerprinting, and anomaly detection tailored for gaming operators. Learn more in Understanding Fraud and Cybersecurity Challenges in the iGaming Industry.

Account takeover attacks occur when hackers use stolen credentials to gain illicit access, compromising both funds and user trust. CrossClassify combats this through behavioral anomaly detection, device/IP intelligence, MFA triggers, and fraud scoring to block suspicious login attempts before they escalate. See Account Takeover: Strategies for Prevention and Defense.

Bot detection for gaming platforms identifies non‑human behavior—such as perfect timing, no mouse movement, or continuous play—to protect gameplay fairness. CrossClassify’s system analyzes session rhythms, entropy patterns, and UI telemetry to accurately distinguish bots from human players in real time.
Read more

Bonus abuse victims operators by inflating acquisition costs and leaking revenue through fake sign‑ups and multi‑account exploitation. CrossClassify uses device fingerprinting, velocity controls, and bonus usage heuristics to detect abnormal signup‑to‑play patterns and prevent promotional fraud at scale. More in
Understanding Fraud and Cybersecurity Challenges in the iGaming Industry.

Gameplay manipulation fraud includes collusion (chip dumping) and bots coordinating to skew outcomes. CrossClassify applies deep behavior clustering, graph analysis of player relationships, and outcome anomaly detection to flag suspicious betting behavior immediately.
Read more

Multi‑accounting and gnoming involve the creation of multiple fake accounts or using different identities to bypass limits and promotions. CrossClassify tracks cross‑account device and behavioral similarities, financial routing, and withdrawal links to detect and block these fraudulent networks.
Read more

Identity and access fraud involves stolen or synthetic identities compromising platform integrity. CrossClassify applies device/IP intelligence, behavioral biometrics, and risk‑based login scoring to scrutinize geolocation anomalies, rapid login attempts, or unusual session patterns.
Read more

Device fingerprinting creates a persistent profile of each device to detect reused devices across multiple fraudulent accounts. CrossClassify leverages fingerprint and graph‑based mapping to flag when one device is signing up or playing under multiple accounts, often tied to bonus abuse or account takeover.
Read more

AI‑driven risk scoring aggregates behavioral, device, transaction, and identity signals to compute a realtime risk rank for each player. CrossClassify’s machine learning models then allow operators to automate interventions, like triggering CAPTCHA challenges, blocking transactions, or pausing gameplay, to stop fraud confidently.
Read more

CrossClassify offers a multi‑layered online gaming anti‑fraud strategy combining behavioral analytics, access monitoring, bot detection, and promotional abuse prevention. Its solution is tailored to gaming operators’ regulatory and performance demands, delivering robust fraud coverage while preserving user experience. Dive deeper in Understanding Fraud and Cybersecurity Challenges in the iGaming Industry.
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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

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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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