Bad bot mitigation experts, Queue-it, the market-leading virtual waiting room, and Distil Networks, the online bot and fraud prevention specialist, have released “Beating bad bots & restoring fairness to ticketing,” their latest guide on bots within ticketing and live entertainment.
This comprehensive guide details different types of bots, exposes various bad bot behaviors, reflects on the effects of anti-bot legislation, and shares best practices to beat malicious activity in the ticketing ecosystem.
Online ticketing organizations have found themselves on the front lines of the battle against bad bots. These bots make the internet an unfair place, and nowhere is this clearer than during onsales. With public outcry over ticketing bots at a boiling point, organizations that don’t take the problem seriously do so at their own peril.
At Distil Networks and Queue-it, we think there’s a better way to bring fairness to ticketing and ensure tickets get in the hands of true fans. We believe that ticketing organizations can and should be the leading defense in the fight against malicious bots.
About Queue-it
Queue-it is the leading developer of virtual waiting room services to control website and app traffic surges by offloading visitors to an online queue. Its powerful SaaS platform enables online ticket vendors and venues to keep their systems online and fans informed, blocking malicious bots and creating a personalized waiting experience on their most business-critical days. The use of Queue-it has ensured online fairness during high-demand onsales for billions of consumers worldwide. The company has offices in Denmark and the U.S. For more information, please visit queue-it.com.
About Distil Networks
Distil Networks was founded in 2011 to defend websites, APIs and mobile apps against the rising threat posed by malicious bots. Distil Networks is purpose-built to defeat bad bots that circumvent traditional web application defenses like Web Application Firewalls (WAFs). Distil Networks is the Forrester-ranked global leader in bot detection and mitigation focused on stopping automated attacks to make the web more secure.