Bot detection and management API is a key security component in securing the digital landscape against automated threats like DDoS attacks, web scraping, fraud, and credential stuffing. These malicious bots rob businesses of value, wreaking havoc with website and application performance, stealing user data and disrupting customer experience. The best way to combat these automated attacks is by detecting bot activity in real time, quickly and accurately.

Achieving this requires advanced, scalable technologies that operate with low latency so they do not impact site performance. Radware Bot Manager uses a combination of techniques, including device fingerprinting, behavioral analysis, IP reputation, and collective bot intelligence, to identify malicious bots while still allowing useful ones access to web properties.

Top Bot Traffic Identification Tools for Secure Web Applications

To detect bots, a device fingerprinting model is utilized to analyze incoming requests and identify unique attributes such as browser type and version, installed plugins, screen resolution, and operating system to create a fingerprint that differentiates between human users and bots. In addition, heuristics and rules are deployed to look for unusual behaviors that indicate potential bot activity. Examples include unusually fast completion times, repeated patterns of form submissions, and high usage velocities compared to the average usage volume.

Once a bot is detected, it can be blocked, shown a CAPTCHA challenge, or given a pass and allowed to continue based on a set of criteria. To ensure that the right balance is struck between preventing bad bots and allowing good bots to operate, the detection engine must be accurate, intelligent, and responsive without taking away from the user experience.