Container image hardening and software supply chain security platform
RapidFort sells hardened, low-CVE container images and attack surface reduction for cloud-native software, built on Go, Python, Kubernetes, Helm and Terraform across AWS, Azure and GCP. Job posts cluster around FedRAMP, CMMC Level 2, ISO 27001 and SOC 2 programs alongside a Cyber Security Director search, signaling a deliberate push into federal and public-sector buyers. Marketing hiring centers on partner-led, account-based campaigns.
Notable leadership hires: Cyber Security Director
RapidFort, founded in 2020 and headquartered in Sunnyvale, California, builds a software supply chain security platform. Its offering includes curated container images with minimal known vulnerabilities, vetted application libraries, malware-scanned packages, runtime profiling and attack surface management, aimed at removing vulnerabilities without requiring code changes. The company supports compliance workflows such as CIS and STIG benchmarks and POA&M justifications, which serve regulated and government customers. It is a privately held company with 51–200 employees and currently hires in the United States.
RapidFort works with Go, Python (FastAPI, Flask, Django), C++, Kubernetes, Helm, Docker, Terraform and Ansible on AWS, Azure and GCP, with ClickHouse, MySQL, Redis, Keycloak and Datadog.
Yes. Job posts reference a FedRAMP authorization program alongside CMMC Level 2, ISO 27001 and SOC 2 Type 2 efforts, reflecting a focus on public-sector and federal customers.
Yes. Engineering is the largest hiring area, followed by marketing and security, with hiring accelerating in the United States and a Cyber Security Director role open.
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RAPIDFORT'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.