Continuous controls monitoring platform for GRC modernization
RegScale built a continuous controls monitoring platform to replace legacy GRC tools that struggle with speed and cost. The stack spans Python, Go, Rust, and .NET across AWS/GCP/Azure, with active security tooling integration into CI/CD pipelines—indicating a shift from periodic compliance snapshots toward embedded, real-time control monitoring. Hiring is accelerating with a senior-heavy mix skewed toward engineering (8 roles) and sales (6), and the project pipeline signals aggressive federal-sector expansion alongside internal scaling challenges.
RegScale is a continuous controls monitoring platform built for security and compliance teams at mid-market and enterprise organizations. The platform bridges security, risk, and compliance functions by automating control validation across cloud environments (AWS, GCP, Azure) and integrating with existing security tooling. Founded in 2021 and headquartered in Tysons, Virginia, the company operates with 51–200 employees and is actively expanding federal market presence while addressing internal engineering maturity and FedRAMP compliance paths. Current focus areas include dashboard reporting, ATO process automation, and embedding security practices directly into engineering workflows.
RegScale uses Python, Go, Rust, C#, and Java across Docker and Kubernetes. Cloud infrastructure spans AWS, GCP, and Azure. Frontend is built with Angular and TypeScript; backend uses .NET and PostgreSQL.
Current projects include federal GTM strategy, FedRAMP compliance readiness, security tooling CI/CD integration, penetration testing programs, and a value calculator. The company is expanding federal sector presence while scaling internal engineering organization.
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RegScale'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.