AI-driven threat intelligence and security posture management platform
Filigran operates a multi-product threat management suite (OpenCTI, OpenAEV, OpenGRC) built on a polyglot cloud-native stack (AWS/Azure/GCP, Kubernetes, Node.js/Python, PostgreSQL, Elasticsearch). The company is actively embedding AI across product and internal workflows—nine concurrent projects reference AI integration—while scaling both SaaS and on-premise deployments. With 70% of open roles at senior/director level and hiring acceleration across nine countries, Filigran is in mid-market expansion mode.
Notable leadership hires: Channel Account Director
Filigran develops open-source and commercial threat intelligence, breach simulation, and governance products serving over 6,000 organizations globally. Founded in October 2022, the company operates from New York with 201–500 employees. The product architecture spans three core pillars: OpenCTI for cyber threat intelligence, OpenAEV for adversarial exposure validation, and OpenGRC for governance. Engineering is the largest hiring segment, followed by ops and support, reflecting buildout of platform scalability and customer-facing infrastructure. The stack emphasizes containerization (Kubernetes, Docker, Podman) and multi-cloud deployment, supporting both SaaS and on-premise customer models.
Filigran's core stack includes AWS, Azure, GCP, Kubernetes, Node.js, TypeScript, React, Python, PostgreSQL, Elasticsearch, GraphQL, and Docker. The architecture supports both cloud and on-premise deployments via Helm, Ansible, and Terraform.
Filigran is recruiting across nine countries: United States, Portugal, France, Sweden, Germany, Netherlands, Saudi Arabia, Australia, and Singapore.
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Filigran'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.