Fortanix builds data security and confidential computing infrastructure using low-level languages (Rust, C/C++) and cryptographic standards (KMIP, PKCS#11), deployed across AWS, GCP, and Azure. The company's hiring mix—balanced between engineering and sales with mid-to-senior seniority—reflects a platform play selling into enterprises. Active projects span runtime encryption, CI/CD hardening, and confidential computing adoption, suggesting a shift from static data protection toward runtime and application-layer security.
Fortanix is a data security company serving mid-market and enterprise organizations managing sensitive data across hybrid multicloud infrastructure. The platform combines data exposure management, confidential computing enablement, and encryption services (including HSM-as-a-service, tokenization, and secrets management). Founded in 2016 and based in Santa Clara, the company employs 201–500 people across engineering, sales, support, and operations, with hiring active in the US, India, Germany, Austria, and Switzerland. The technical foundation rests on Intel SGX, AMD SEV, and Intel TDX—specialized CPU capabilities for runtime data protection—integrated with mainstream cloud providers and infrastructure platforms.
Core languages: Rust, C/C++, Go, Java. Cryptographic standards: KMIP, PKCS#11. Deployment: Docker, Kubernetes across AWS, GCP, Azure. Hardware: Intel SGX, AMD SEV, Intel TDX. Cloud services: AWS CloudHSM, AWS KMS, Google Cloud KMS, Azure Key Vault.
Santa Clara, California. The company was founded in 2016 and is privately held with 201–500 employees.
Other companies in the same industry, closest in size
Fortanix'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.