Case Study: Leading Airline Company restores seamless user experience and cuts automated attacks with Netacea's Intent Analytics

Preventing Bad Bot Traffic for an Industry-leading Airline

Leading Airline Company, a billion‑pound, publicly listed carrier serving over 100 destinations and 100m passengers annually, was struggling with persistent automated attacks—credential stuffing, account takeover, fake account creation, carding and scraping—that degraded user experience and increased manual mitigation work. After legacy JavaScript and ruleset‑based controls failed to stop sophisticated bots, the airline engaged Netacea and its Intent Analytics solution to secure web, mobile app and API traffic.

Netacea implemented its Intent Analytics machine‑learning engine at the API layer, enabling rapid, hard‑to‑circumvent detection that complements existing WAF and rate‑limit controls. The deployment produced an immediate reduction in automated traffic, improved site and app performance for real users, lowered infrastructure costs and cut the number of manual password resets, materially reducing operational risk—outcomes confirmed by the airline’s cybersecurity team and enabled by Netacea.