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Datalex's Integration of Imperva with F5 for Advanced Bot Protection
Technology Category
- Analytics & Modeling - Robotic Process Automation (RPA)
- Sensors - Environmental Sensors
Applicable Industries
- Cement
- Retail
Applicable Functions
- Logistics & Transportation
- Maintenance
Use Cases
- Chatbots
- Inventory Management
Services
- System Integration
The Challenge
Datalex, a leading provider of a unified Digital Commerce Platform, was facing a significant challenge with bad actors scraping their customers' sites. This activity was diminishing SEO, luring away upsell and cross-sell opportunities, and increasing Global Distribution System (GDS) API pull costs. The travel industry, in which Datalex operates, is particularly vulnerable to such activities due to the valuable data available on their sites. Persistent scrapers were stealing content from travel sites, posting it on their own sites, and monitoring fare prices to undercut with lower fare offerings. One of Datalex's airline customers was being bombarded with deep-digging attacks, driving up backend payment costs. Even smaller customer sites were hit by bots multiple times a day, slowing them down or even taking them offline. Datalex had been using an anti-bot solution from F5 Networks, but it was proving ineffective in distinguishing good bots from bad ones and was burdensome to manage.
About The Customer
Datalex is an Ireland-based company that provides a unified Digital Commerce Platform, combining pricing, shopping, order management, and customer insights to deliver competitive and differentiated retail experiences at every touch point in the travel journey. Voted the 'World's Leading Travel Merchandising Solution Provider' at the 2014 World Travel Awards, Datalex's commerce platform enables a travel marketplace of over one billion shoppers covering every corner of the globe. Its customers include some of the world's most innovative airline retail brands such as Aer Lingus, Abacus, Air China, Air Transat, Brussels Airlines, Copa Airlines, Delta Air Lines, Edelweiss, HP Enterprise Services, JetBlue Airways, Philippine Airlines, SITA, Swiss International Air Lines, Virgin Atlantic, Virgin Australia, West Air, and WestJet.
The Solution
Datalex found a solution in Imperva Bot Management. This solution was able to detect more because of its graduated path, unlike previous solutions. It was able to block persistent scrapers, which F5 Networks was unable to do. Imperva Bot Management offered granular controls around rate limiting and signature detection, which F5 Networks did not. It also used device fingerprinting, behavioural modelling of each domain's web traffic, automated JavaScript detection, and other advanced browser validation tools. Imperva Bot Management's level of automation was unique among bot detection solutions, allowing Datalex's team to easily set tolerance levels, limits, and specify how to block bad traffic. Once Imperva Bot Management was implemented on the site, it was able to block all bad bots. After tuning was completed, it eliminated all but allowed scrapers.
Operational Impact
Quantitative Benefit
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