Build on your WAF security and stop sophisticated bad bots
WAFs are effective tools as part of any secure web-based system, however WAFs are designed to look for and prevent requests that are targeted at exploiting security weaknesses. New and sophisticated bot attacks often look like legitimate human requests, which can often pass through a WAF unchallenged.
“Organizations want more from their WAF providers — and the degree of negative feedback from vendor-supplied references in this Forrester Wave warns that, unless vendors adapt quickly, the WAF market is ripe for disruption.” – Forrester
Netacea prevents sophisticated bot activity 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 hunts out malicious bots and prioritises genuine users.
- Server-side bot management using machine learning
- Unrivalled accurate threat intelligence
- Full attack surface coverage
- Complete control with flexible mitigation options
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A sophisticated approach for sophisticated bots
We prevent automated threats
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