Scalping bot protection powered by Intent Analytics™
Netacea prevents sophisticated scalper bots by harnessing the power of machine learning to analyse bot behaviour. We use Intent Analytics™ to offer an incredibly fast, accurate and transparent solution that detects and mitigates next-gen ticket scalpers and touting bots, while prioritising genuine users.
- Detect sophisticated scalpers using machine learning
- Robust and rapid bot attack response
- Advanced dashboarding capabilities
- Real-time actionable threat intelligence
Trusted by leading brands in any industry including:
Stop bots from abusing your website. Find out how Netacea can protect your website, mobile apps and APIs from automated threats.
A sophisticated approach for sophisticated threats
We prevent automated threats
Credential Stuffing
Fake Account Creation
Web Scraping
Card Cracking
A smarter approach for retailers
One of the UK’s fastest-growing lifestyle brands, with over 500 stores across 5 continents, looked to Netacea to assist with mitigating bot traffic.
“The Netacea team were incredible throughout the attack, and the days that followed. The speed they implemented and started mitigating was phenomenal, and the information that they were able to provide us during the investigation with our hosting partner was invaluable”
– E-Commerce Manager
- 6.8M Credential attack attempts blocked
- 7.4% Of all website traffic was credential stuffing
- View Case Study
Credential stuffing in finance
If a bank account is accessed using the correct login credentials, how can you identify the legitimacy of the user vs. an automated traffic attack?
In 2018, a new incident of financial fraud was identified every 15 seconds. The gravity of the cybercrime challenge is driving financial institutions to invest heavily in tackling the problem, with an estimated £650 million spent annually on dedicated employees to combat fraud and money laundering amongst other financial crimes.
- £1.2b Fraud and scams in 2018
- $5m Botnets earned per day in 2019
- View Data Sheet
