Airship operates a mobile-first customer experience platform that orchestrates cross-channel journeys across apps, websites, email, SMS, and mobile wallets. The platform layers AI-powered personalization on top of real-time behavioral data, letting growth teams build, test, and deploy hyper-targeted experiences without engineering dependencies. It's the kind of system that touches millions of end-user devices and processes sensitive engagement data at scale - exactly the surface area that keeps security teams honest.
With over 15 years of operation and a customer base spanning thousands of global brands across multiple industries, Airship has accumulated significant operational complexity. The technical stack lives at the intersection of AI, mobile innovation, and cross-channel orchestration, meaning the attack surface includes push notification infrastructure, SDK endpoints embedded in consumer apps, data pipelines feeding personalization engines, and integration layers connecting to third-party marketing tools. That's a broad threat model touching both client-side and server-side systems.
For security practitioners, the challenge is architectural: securing a platform where non-technical users configure journeys that trigger real-time data flows across multiple channels, while the underlying infrastructure must maintain trust with some of the world's largest brands. The data flowing through these systems - device identifiers, behavioral signals, engagement metrics - demands rigorous handling across storage, transit, and processing layers.
