AI-driven mobile threat detection and device protection platform
Zimperium builds mobile security detection and prevention for enterprise applications and devices. The stack reveals a mature security operation: native mobile instrumentation (iOS, Android, Objective-C, Swift), reverse-engineering tools (IDA Pro, Ghidra), and threat analysis automation (Python, Django, FastAPI). Active hiring spans security (15 roles), engineering (11), and support (8) — a security-heavy org scaling detection capabilities and infrastructure, with internal tooling and CI/CD improvements signaling operational maturity pressure as customers demand faster threat response.
Zimperium develops AI-driven mobile threat defense for enterprises protecting iOS and Android environments. The product detects mobile-targeted attacks including phishing, malware, app vulnerabilities, and zero-day exploits through autonomous threat analysis. Founded in 2010 and headquartered in Dallas, the company operates across nine countries (US, India, Indonesia, Hungary, Argentina, Romania, Malaysia, France, Brazil) with 201–500 employees. Current product efforts focus on iOS detection algorithm improvements, scalable microservices architecture, and infrastructure-as-code deployment — reflecting both offensive capability expansion and operational scaling challenges.
Native mobile (iOS, Android, Swift, Objective-C), reverse-engineering tools (IDA Pro, Ghidra), backend services (Python, Django, FastAPI, Java), cloud infrastructure (AWS, Azure, GCP, OCI, Kubernetes), and security platforms (Palo Alto Networks NGF, Prisma Cloud, Datadog).
Nine countries: United States, India, Indonesia, Hungary, Argentina, Romania, Malaysia, France, and Brazil.
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Zimperium'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 →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.