Detect and stop automated bots

Detect and stop automated bots are software programs that perform automated tasks on the Internet at scale, around the clock. They can be good (search engine crawlers, chatbots for customer support, e-commerce bots to track product availability) or bad (attacking websites and online stores to steal sensitive data, manipulate prices, or drain server resources).

A successful bot detection strategy is key to protecting your site, business operations, and users. But detection can’t be too simplistic, or you run the risk of erroneously inconveniencing legitimate visitors. It also needs to evolve alongside the ever-changing threat landscape and advancements in bot technology.

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Modern bot detection relies on a range of techniques to analyze user behavior and device characteristics. For example, fingerprinting examines signals such as cursor movement and course, click rhythm, and keyboard activity to identify anomalous patterns that could indicate the presence of a bot. Other factors to consider include the use of proxies and other methods of concealing identity, as well as inconsistencies or missing user-agent strings that can indicate spoofing.

Radware’s solution uses a unique, scalable approach to automated bot detection without slowing down user experience. It analyzes every visitor to a website, API or mobile app in real time, and develops a fingerprint based on numerous parameters. It then uses a combination of rules and responses to determine whether the user is human or a bot in just a few milliseconds. These rules can include blocking the visitor, showing a CAPTCHA, feeding them fake data or other types of proof-of-work challenges, all tailored to the specific threat and organization’s security needs.