web and mobile
Fraudsters are posing as genuine traffic in order to scrape data, content and images for malicious purposes, using bots and custom-coded scripts.
Malicious humans looking to scrape content are presented with enforcement challenges that incrementally increase in complexity. Fraudsters clearing these challenges at scale is impossible as it requires them to spend more time and resources. This erodes the return on investment from the attack and renders it economically non-viable, forcing the fraudsters to stop.
Arkose Labs profiles all traffic to detect signs of scraping. When large volumes of data are requested, Arkose Labs intercepts attackers with a challenge–response mechanism that determines whether or not a request is authentic before passing it to the enterprise.
Root out scripted attacks, trained bots and malicious humans through targeted friction.
Defense protocols which automatically adapt to evolving attack techniques.
100% SLA guarantee to remediate automated attacks.
Defense against unauthorized, automated and sweatshop-driven scraping attacks.
Bilateral approach that combines sophisticated risk assessments with adaptive enforcement challenges for superior bot identification.
Other Use Cases