A global food delivery company processing over half a million orders daily faced severe system overloads from bot-driven spikes, some reaching ten times normal traffic. These attacks caused performance degradation, customer complaints, and lost revenue. Its internal IP-based bot management solution failed to stop sophisticated threats and consumed extensive resources. The company implemented HUMAN Application Protection, which uses machine learning, behavioral analysis, and predictive fingerprinting to detect and block malicious bots in real time. Integrated with Fastly and existing analytics tools, the solution reduced system strain, improved efficiency, and restored trust through automated, low-latency defense.

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