With the ubiquitous adoption of the mobile internet, cyber attackers have found another attack surface to exploit. Attackers prey on business-critical data, customers’ personal information (PII), credentials, and payment card details using bots. These bots change their identity, behavior, and IP address to operate under permissible limits of conventional security measures. Additionally, mobile traffic characteristics are less predictable than web browsers traffic. Tackling such sophisticated bots requires an advanced approach that improves its logic faster than continuously evolving bot patterns. Radware Bot Manager leverages the latest developments in deep learning to filter and mitigate invalid traffic from mobile devices (web and apps) in real-time.
Bot Detection Technology
- Detection techniques based only on JavaScript are ineffective in detecting anomalies in user behavior on mobile. Radware Bot Manager collects multiple parameters from the end user’s device to build a database of unique fingerprints and filter anomalous behavior patterns.
- Conventional techniques such as rate limiting and IP reputation can cause false positives due to distinctive nature of mobile networks. We apply device fingerprinting, and device level unique cookies to separate genuine users from bots, and accurately manage automated traffic while ensuring zero false positives.
- You can also take custom action against bots on different sections of the mobile app as well as on mobile Web applications, and can feed fake information to content aggregators and scrapers. Additionally, we allow you to blacklist/ whitelist apps and domain names.
