GRC platform automating compliance, risk, and security workflows
Hyperproof operates a GRC (governance, risk, compliance) platform built on TypeScript + React + Java + C# and deployed across Azure + Kubernetes. The product roadmap centers on partner-led growth (event management, onboarding, incentive design) alongside continuous assurance and AI-driven features, while internal pain points cluster around scalable partner onboarding, repetitive reporting, and client retention—typical of a B2B SaaS reaching scale. Hiring spans engineering, product, security, and sales with several manager and senior roles open, indicating concurrent execution on product depth and go-to-market.
Hyperproof is a GRC platform helping mid-market and enterprise security and compliance teams automate risk assessment, audit workflows, and regulatory reporting. Founded in 2018 and headquartered in Seattle, the company serves companies across financial services, healthcare, technology, and manufacturing sectors. The platform integrates with existing enterprise stacks (Salesforce, Jira, Slack, Zoom, HubSpot) and sales/recruiting tools (Outreach, Gong, ZoomInfo, Greenhouse, LinkedIn Recruiter), enabling compliance operations teams to shift from manual, periodic compliance to continuous monitoring and assurance. Active projects span product expansion into new compliance frameworks, AI-driven automation, and a partner ecosystem strategy.
Frontend: TypeScript, React. Backend: Java, C#, Go. Infrastructure: Azure, Kubernetes, Terraform, Terragrunt, GitLab, Azure DevOps. Integrations: Salesforce, Jira, Confluence, Slack, Zoom, HubSpot, Outreach, Gong.
Partner ecosystem expansion (onboarding workflows, event management, incentive design), compliance framework architecture, continuous assurance capabilities, AI-driven features, automated marketing workflows, and incident response playbooks.
Hyperproof'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.