Biometric border control and immigration analytics for national governments
Securiport builds biometric and data-analytics systems that governments use to run immigration checkpoints and civil aviation security. Its job posts point to a platform push: case management, watchlist screening, a border threat-detection platform and real-time analytics on Kafka, built on a mixed .NET/C#, Java and Python stack across Azure and AWS. Compliance pressure is explicit, with ISO 27001 maintenance and NIST 800-171 work alongside accelerating, engineering-led hiring.
Securiport is a privately held company headquartered in Reston, Virginia, founded in 2001, with 201–500 employees. It provides immigration control and civil aviation security technology to national authorities, combining biometric identification with data analytics to screen travelers at borders. Its systems are deployed in many countries, with a focus on markets across Africa, Asia and South America. Current hiring is based in the United States and spans engineering, finance, operations, design, product, security and marketing.
Securiport uses C#, .NET, Blazor, Java, Python, React, TypeScript and Flutter, runs on Azure and AWS with Docker, Kafka, SQL Server and MySQL, and tests with Playwright, Selenium and Ranorex. NetSuite and SAP support finance.
Job posts point to a case management platform, watchlist screening integration, a border security and threat detection platform, real-time data analytics, a digital single-window platform and disaster recovery planning.
Securiport is headquartered in Reston, Virginia, United States, and current hiring is concentrated in the US across engineering, finance, operations, product and security.
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Securiport'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.