Device-first fraud intelligence platform with persistent device identification
SHIELD operates a device identification and fraud intelligence platform built on proprietary technology (SHIELD Sentinel and SHIELD Device ID) that surfaces risk signals across applications and platforms. The tech stack reveals a mobile-first orientation—Android SDK, Swift, Objective-C, and native build tools dominate—paired with backend infrastructure (MySQL, Salesforce, Dynamics 365). Active hiring spans engineering, sales, and support across multiple geographies (Singapore, Mexico, Indonesia, Malaysia, India), with a leadership focus on large-account value engineering and proof-of-concept acceleration, indicating a shift toward enterprise sales motion.
Notable leadership hires: Account Director
SHIELD provides device-first fraud intelligence to detect and prevent fraud across industries and use cases. The platform identifies fraudulent activity through device signals and over 20 risk indicators, enabling real-time detection and response. The company operates a distributed team across Los Angeles, São Paulo, London, Berlin, Jakarta, Bangkok, Bengaluru, Beijing, and Singapore. Founded in 2008, SHIELD serves global enterprises and platforms that require high-fidelity fraud prevention at scale. The product stack includes SHIELD AI, native mobile SDKs (Android and iOS), and integrations with Salesforce and Microsoft Dynamics 365 for sales and customer operations.
SHIELD's stack centers on mobile development (Android SDK, Swift, Objective-C, Xcode, Android Studio) for device identification, backend infrastructure (MySQL), and CRM/sales tools (Salesforce, Microsoft Dynamics 365). CI/CD, Jira, and Linear support engineering operations.
SHIELD is headquartered in Los Angeles, California, and operates offices in São Paulo, London, Berlin, Jakarta, Bangkok, Bengaluru, Beijing, and Singapore.
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SHIELD's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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