This infographic outlines why airlines are a prime target for automated attacks and provides best practices to reduce bot impact. It explains common threats such as seat spinning, loyalty account takeover, SMS pumping, and price scraping, all of which undermine revenue and customer trust. Recommended practices include using machine-learning-based detection, fingerprinting adaptive bots, enforcing application logic, protecting high-risk flows, detecting residential proxies, establishing traffic baselines, and applying challenges selectively. The focus is on reducing attacker ROI by making automation more expensive and less effective, while preserving a seamless experience for legitimate travelers.

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