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Customer
A Leading Global Online Gaming Platform
Industry

Online Gaming / Esports

Challenge

Rising threats from bots during peak events (e.g., tournaments, in-game sales).

Result

PDF Document

Overview

A leading global online gaming platform was struggling with increasing bot-driven threats, including account takeovers, credential stuffing, content scraping, and automated betting exploits. Despite deploying Web Application Firewalls (WAFs) and DDoS protection, these traditional tools fell short in distinguishing between legitimate users and bots, leading to fraud, resource drain, and degraded user experience. To counter these challenges, the gaming platform turned to IntelliFend. By leveraging machine learning, rule-based detection, and multi-layered security analysis, IntelliFend provided real-time threat detection, improved fraud prevention, and optimized operational efficiency.

The Challenge: Growing Bot Threats in Online Gaming

With millions of daily users, the gaming platform frequently saw traffic surges during major events, such as esports tournaments and in-game sales. However, this growth also attracted sophisticated bot attacks, which created severe security and business challenges:

1. Credential Stuffing & Account Takeovers (ATO)

Attackers used stolen credentials to perform brute-force login attempts on user accounts. The platform’s WAF-based rate limiting was ineffective, as attackers rotated thousands of IP addresses to bypass restrictions.

How IntelliFend Helped

  • AccuBot Detection Engine grouped related login attempts across distributed IPs, identifying coordinated bot-driven account takeovers that bypassed traditional security rules.

  • VisitorTag Tracking Technology ensured genuine human users were not mistakenly blocked, reducing false positives during login authentication.

  • Machine learning models continuously analyzed login patterns, adapting in real-time to identify new attack strategies.

2. Automated Scraping & Price Manipulation

The platform used real-time dynamic pricing for in-game items. Scraper bots targeted API endpoints and pricing data from specific URLs, allowing competitors to steal pricing data and adjust their own game pricing unfairly.

How IntelliFend Helped

  • VisitorTag analyzed browsing behaviors, distinguishing between real players and automated scrapers.

  • AccuBot assigned higher risk scores to suspicious traffic requesting bulk data extraction from pricing APIs, throttling bot requests without disrupting legitimate users.

  • Rule-based detection flagged high-frequency API requests, automatically blocking excessive scraping behavior.

3. Automated Betting Exploits

Bots exploited real-time odds changes in esports betting by placing bets within milliseconds of updates. This unfair advantage disrupted the platform’s betting ecosystem, reducing fairness for human players.

How IntelliFend Helped

  • AccuBot’s real-time risk scoring detected automated betting patterns, preventing bots from manipulating odds-based bets.

  • VisitorTag ensured real human bettors experienced smooth gameplay without security interruptions.

  • Machine learning identified abnormal betting behaviors, adapting to evolving bot tactics.

4. Web Scanning & Exploitation Attempts

Attackers targeted admin and configuration URLs to probe for security misconfigurations. Like port scanning, these attacks sought to identify weaknesses that could lead to data breaches.

How IntelliFend Helped

  • AccuBot flagged anomalous URL requests that deviated from normal user behavior, blocking web scans before attackers could exploit vulnerabilities.

  • VisitorTag’s telemetry tracking helped identify users repeatedly accessing suspicious admin endpoints, escalating their risk scores dynamically.

  • Rule-based threat identification blocked requests to unauthorized paths, reducing security risks.

Dynamic & Rule-based Detection for Bot Defense

To effectively mitigate these threats, the gaming platform deployed IntelliFend’s AccuBot and VisitorTag, creating a multi-layered defense against bot attacks.

1. VisitorTag: Behavioral Tracking for Human User Detection

Analyzed user behaviors (mouse movements, scrolling speeds, tap delays) to separate human players from bots.

Created unique device identifiers using hardware attributes and session telemetry, tracking repeat bot users even if they changed IPs.

Prevented false positives, ensuring that legitimate players weren’t accidentally blocked

2. AccuBot: AI-Driven Risk Scoring & Real-time Adaptation

Processed real-time login and browsing data, detecting bot patterns across thousands of distributed IPs.

Assigned risk scores to each session, throttling or blocking malicious traffic while allowing real players seamless access.

Dynamically adapted to bot behavior, making it harder for attackers to bypass detection compared to WAF-based rule systems.

3. Hybrid Detection: Combining Machine Learning & Rule-based Filtering

IntelliFend doesn’t rely on a single factor to determine bot behavior. Instead, it employs:

Machine Learning

Learns bot behaviors over time, improving detection accuracy.

Behavioral Analysis

Tracks mouse movements, scrolling speeds, and tap frequencies.

IP Reputation & Risk Scoring

Groups suspicious IP clusters, rather than relying on static blacklists.

Rule-based Detection

Instantly flags obvious bot behaviors, like headless browsers or abnormal session patterns.

4. Real-time Data Streaming with Push Logs

IntelliFend’s push log feature enabled continuous traffic data streaming from the client’s NGINX servers for real-time monitoring.

The gaming platform used this data-driven intelligence to build a custom dashboard, extending visibility beyond bot detection.

Through its custom-built dashboard, the client tracked login patterns, user segmentation, and bot activity trends over time.

Instead of immediately blocking bots, the client leveraged AccuBot’s risk scoring and VisitorTag’s behavioral tracking to categorize different bot behaviors.

The Results: Strengthened Security, Reduced Costs, and Improved UX

Following the IntelliFend deployment, the gaming platform saw dramatic improvements in security, efficiency, and cost savings:

1. 80% Reduction in Account Takeover Attempts
2. 60% Reduction in Scraper Traffic & Bandwidth Costs
3. Scalable Security for High-Traffic Events

Why IntelliFend?

Unlike traditional WAF-based security, IntelliFend’s AccuBot & VisitorTag provided:

IntelliFend for Gaming & Beyond

While this case study exemplifies IntelliFend’s success in the gaming industry, its AI-driven, behavior-based bot detection is equally effective for:

E-Commerce & Retail

Preventing scalping & fake account creation

Financial Services

Protecting against credential stuffing & automated fraud

Travel & Ticketing

Blocking bots from hoarding airline tickets & event passes

Media & Digital Publishing

Stopping content scraping & ad fraud

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