Armor operates a managed detection and response (MDR) platform serving over 1,500 organizations across 40+ countries, built on Microsoft and cloud infrastructure (Azure, AWS, GCP). Their tech stack reveals a deep Microsoft dependency—Sentinel, Defender, Entra, Purview—while they actively modernize internal SOC operations and reduce manual toil through AI-augmented workflows and automation. Hiring momentum is accelerating with 5 senior security roles added in the past month, suggesting rapid scaling of threat detection and response capacity.
Armor provides managed detection and response, cloud security, and compliance consulting to mid-market and enterprise customers. The company operates a 24/7/365 SOC from Plano, Texas, and spans endpoint, network, server, and cloud environments. Core service lines include professional services, managed services, and security consulting—with particular depth in PCI and HIPAA compliance frameworks. The platform integrates tightly with Microsoft cloud infrastructure and supports hybrid on-premises and multi-cloud deployments across Azure, AWS, and GCP environments.
Armor's stack is anchored in Microsoft (Sentinel, Defender, Entra, Purview) and multi-cloud (Azure, AWS, GCP). Infrastructure tooling includes Terraform, Kubernetes, Datadog, Prometheus, Grafana, and VMware vSphere/NSX-T. Detection and response workflows use Splunk, KQL, and PowerShell automation.
Active projects include SOC modernization, Microsoft Defender and Sentinel integration, infrastructure-as-code with Terraform, AI-augmented workflows, automated vulnerability patching, and self-healing mechanisms. Focus areas are reducing manual toil and improving detection/response velocity.
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Armor Defense'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.