Preventing Bot-Driven Fraud in a High-Traffic E-Commerce Platform Using BotFence

Executive Summary 

A global e-commerce platform processing more than 12 million monthly transactions began noticing unusual account activities, fake sign-ups, and sudden checkout failures. Initially, these looked like random user errors. Closer investigation revealed a coordinated wave of automated attacks that imitated human behavior with precision. 

By deploying BotFence, BlackFence’s  intelligent bot detection and mitigation system, the platform achieved a 96 % reduction in fraudulent transactions, a 52 % improvement in checkout performance, and regained complete visibility into authentic customer activity. 

 The Challenge

The client’s platform was facing a new breed of automated threats. Key pain points included: 

• Credential stuffing and large-scale account takeovers.
• Scalper bots buying limited-edition items before real users. 
• Fake traffic inflating marketing analytics and wasting ad budgets. 
• Payment gateway abuse through automated card testing scripts. 

Traditional firewalls and CAPTCHA layers failed to detect these attacks, as the bots used headless browsers and residential proxies to mimic real users. 

The Solution: BotFence by Saptang Labs

Saptang Labs implemented BotFence, a layered defense mechanism combining behavior analytics, fingerprinting, and intent-based verification. The deployment included: 

• Behavioral pattern recognition to distinguish humans from automation in real time. 
• Session fingerprinting to identify repeat attack sources hidden behind proxy networks. 
• Anomaly scoring to automatically flag suspicious activities and adapt to evolving tactics. 
• Real-time threat intelligence integrated into the client’s SIEM for unified visibility. 

Within two weeks of integration, fraudulent activity dropped dramatically without disrupting legitimate customer experience. 

The Results 

The measurable outcomes were both operational and strategic: 

• 96% reduction in bot-driven transactions. 
• 52% faster checkout flow after reducing fraud validation layers. 
• 68% improvement in ad conversion data accuracy. 
• Full restoration of trust from both customers and partner networks. 

 Key Insights

• Automated attacks now account for nearly 47 %of all web traffic globally, according to Imperva 2024 research. 
• Modern bots can simulate human mouse movements, keystrokes, and timing intervals, bypassing basic filters. 
• E-commerce businesses with no adaptive bot management face an average annual revenue loss of 3 to 5 % due to automated fraud. 

Conclusion

The BotFence deployment not only stopped fraud but turned the platform’s defense strategy from reactive to predictive. The client now uses BotFence’s continuous analytics dashboard to stay ahead of evolving threats and maintain customer trust in a highly competitive market.