Menu
.
Demo Schedule
Fill out the form and one of our experts will be in touch to discuss your bot management needs.
Fill out the form and one of our experts will be in touch to discuss your bot management needs.
Fill out the form and one of our experts will be in touch to discuss your bot management needs.
Fill out the form and one of our experts will be in touch to discuss your bot management needs.
Online Gaming / Esports
Rising threats from bots during peak events (e.g., tournaments, in-game sales).
PDF Document
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.
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:
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.
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.
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.
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.
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.
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.
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.
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.
To effectively mitigate these threats, the gaming platform deployed IntelliFend’s AccuBot and VisitorTag, creating a multi-layered defense against bot attacks.
IntelliFend doesn’t rely on a single factor to determine bot behavior. Instead, it employs:
Learns bot behaviors over time, improving detection accuracy.
Tracks mouse movements, scrolling speeds, and tap frequencies.
Groups suspicious IP clusters, rather than relying on static blacklists.
Instantly flags obvious bot behaviors, like headless browsers or abnormal session patterns.
Following the IntelliFend deployment, the gaming platform saw dramatic improvements in security, efficiency, and cost savings:
Unlike traditional WAF-based security, IntelliFend’s AccuBot & VisitorTag provided:
While this case study exemplifies IntelliFend’s success in the gaming industry, its AI-driven, behavior-based bot detection is equally effective for:
Preventing scalping & fake account creation
Protecting against credential stuffing & automated fraud
Blocking bots from hoarding airline tickets & event passes
Stopping content scraping & ad fraud
Fill out the form and one of our experts will be in touch to discuss your bot management needs.