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Securiport Tech Stack

Border security and aviation control platform for government agencies

Security Systems Services Reston, Virginia 201–500 employees Founded 2001 Privately Held

Securiport builds immigration and civil aviation security systems for border authorities worldwide. The stack—Java, C#, .NET on AWS and Azure with Kafka, RabbitMQ, and containerization (Docker, Kubernetes, OpenShift)—reflects a mature, distributed architecture handling real-time data at scale. Active projects center on modernizing analytics UIs, deploying to closed-network environments, and building threat-detection dashboards, while pain points (NIST 800-171 compliance, ISO 27001 certification, outdated documentation) signal a compliance-heavy, regulated customer base.

Tech Stack 52 technologies

Core StackSonarQube Selenium Confluence Java C# AWS Adobe Premiere Pro .NET SQL Server Azure DevOps MySQL Kafka RabbitMQ Jenkins Docker Kubernetes OpenShift GitLab CI/CD Terraform VMware NUnit HP UFT (Unified Functional Testing) Ranorex Redmine IBM MQ Azure Docker Swarm AWS EKS Ubuntu Red Hat Enterprise Linux+21 more

What Securiport Is Building

Challenges

  • Maintaining iso 27001 certification
  • Streamlining audit processes
  • Ensuring nist 800-171 compliance
  • Secure and stable system performance
  • Complex technical challenges
  • Closed-network environments
  • Outdated ui performance
  • Scalable high-impact systems
  • Real-time data processing
  • Outdated documentation

Active Projects

  • Turnkey delivery to closed-network environments
  • Infrastructure automation for configuration, software integration, testing, and deployment
  • Modern ui for border security analytics
  • Data-driven dashboards for threat detection
  • Global border security and threat detection platform
  • Real-time data processing and analytics platform
  • Airport and border-control solutions
  • Social and web distribution
  • Educational and informational content
  • Centralized content library and template framework

Hiring Activity

Accelerating15 roles · 10 in 30d

Department

Engineering
7
Security
2
Design
1
Finance
1
Marketing
1
Product
1
Sales
1

Seniority

Mid
9
Senior
3
Junior
2
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About Securiport

Securiport develops immigration control and civil aviation security solutions deployed across dozens of countries. The platform ingests and processes traveler data, biometric records, and threat intelligence in real time, surfacing actionable insights to border and airport authorities through analytics dashboards. The company operates in a highly regulated environment—customers are government agencies—and maintains compliance with security standards including ISO 27001 and NIST 800-171. Engineering is the dominant hiring focus, paired with smaller teams in security, design, and product, reflecting the technical debt and modernization work evident in their project list (UI overhauls, infrastructure automation, closed-network deployments).

HeadquartersReston, Virginia
Company Size201–500 employees
Founded2001
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Securiport use?

Securiport runs Java, C#, and .NET on AWS and Azure infrastructure. Data processing uses Kafka, RabbitMQ, and IBM MQ; deployment and CI/CD rely on Jenkins, GitLab CI/CD, Docker, Kubernetes, and Terraform. Testing is supported by Selenium, HP UFT, and Ranorex.

What is Securiport working on?

Current projects include modernizing border security analytics UIs, building real-time threat-detection dashboards, automating infrastructure and deployment pipelines, and delivering solutions to closed-network (air-gapped) government environments. The company is also centralizing documentation and content templates.

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How this profile is built

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.