AI governance and data protection platform for enterprise security teams
Harmonic Security builds a platform that gives security teams real-time visibility and policy control over how employees and agents use AI tools. Its stack pairs Rust, C++ and Java with endpoint management tooling (Intune, Jamf, Kandji) and MCP, pointing to agent-level and device-level enforcement. Current hiring skews senior and security-focused, with projects centered on hardening its own architecture, auth and secrets management.
Harmonic Security is a privately held company founded in 2023 and headquartered in San Francisco, California, with 51–200 employees. It sells an AI governance and control platform that interprets user and agent intent alongside data context to help security teams monitor and govern AI usage, including shadow AI and generative AI data loss prevention. The company runs on AWS with Docker, ECS, Terraform and GitLab CI/CD. Go-to-market runs on HubSpot, Gong and ZoomInfo, supported by Google Ads and LinkedIn Ads. It hires in the United States and United Kingdom.
Harmonic Security uses Rust, C++, Java and Python on AWS (ECS), with Docker, Terraform, OpenTofu and GitLab CI/CD, plus Intune, Jamf and Kandji for endpoints and HubSpot and Gong for sales.
It offers an AI governance and control platform that gives security teams real-time visibility and policy enforcement over AI tool usage by employees and agents, covering shadow AI and generative AI data protection.
Harmonic Security is headquartered in San Francisco and hires in the United States and United Kingdom, mostly senior roles across engineering, security and sales.
Other companies in the same industry, closest in size
Harmonic Security'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.