Bot Detection at an E-Commerce Store

Cover image for Bot Detection at an E-Commerce Store
Security & Compliance

Separated legitimate crawler traffic from malicious bots targeting the online storefront

Bot Detection at an E-Commerce Store

E-Commerce Retail · North America

Reduced fraudulent activity and checkout abuse through layered bot management controls.Protected site performance during peak traffic periods by blocking disruptive automated traffic.
Aug 25, 20241 min read

At a glance

Executive Summary

Project Details

Industry

E-Commerce Retail

Region

North America

Services Provided

  • Bot Traffic Analysis
  • WAF Configuration
  • IP Filtering
  • Behavioral Monitoring
  • Fraud Prevention

Key Takeaways

  • Reduced fraudulent activity and checkout abuse through layered bot management controls.
  • Protected site performance during peak traffic periods by blocking disruptive automated traffic.

Overview

An e-commerce retailer was disrupted by malicious bots that threatened customer data, enabled fraudulent transactions, and degraded website performance during high-traffic periods. Blue Orca implemented a bot management strategy to identify, classify, and block harmful automated traffic while preserving legitimate search and partner bots.

Key outcomes

4

Documented outcome areas

4

Core challenges addressed

Deep dive

Case Narrative

Challenges

  • Malicious bots targeted checkout flows and customer account areas.
  • Fraudulent transactions increased operational cost and customer support burden.
  • Automated traffic spikes affected site performance during peak sales events.
  • The retailer needed to distinguish legitimate bots from harmful automation.

Our Approach

  • Bot Traffic AnalysisConducted a comprehensive review of traffic patterns to categorize legitimate crawlers versus malicious automation.
  • IP Filtering and Reputation ControlsApplied targeted filtering rules to block known bad sources while minimizing impact on real customers.
  • Behavioral AnalysisMonitored session behavior to detect scripted activity, credential abuse, and suspicious checkout patterns.
  • Ongoing TuningEstablished monitoring and response practices so bot rules could evolve with new attack patterns.

Results

  • Reduced malicious bot activity across high-risk storefront paths.
  • Improved stability and response times during peak traffic periods.
  • Lowered fraudulent transaction volume through proactive bot controls.
  • Gave the security team clearer visibility into automated traffic trends.

Why Blue Orca Solutions?

Blue Orca combines practical security operations with business-aware tuning. We help e-commerce teams stop abusive automation without breaking the customer experience.

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