AI-powered compliance automation for defense and regulated enterprises
Secureframe automates compliance evidence collection and audit documentation across defense, government, and regulated sectors using AI and integrations with AWS, Azure, Google Workspace, and Microsoft GCC High. The product stack (TypeScript, Ruby, Python, PostgreSQL, Elasticsearch, RAG) coupled with active projects around agentic workflows and LLM-powered systems suggests the company is moving beyond rule-based automation toward AI-driven control monitoring and audit support—a shift reflected in hiring velocity skewing sales-heavy (8 of 21 roles) to capitalize on demand in CMMC, FedRAMP, and NIST compliance.
Secureframe is a compliance automation platform founded in 2020 and headquartered in San Francisco. It serves organizations from startups to defense contractors, automating the collection and verification of security audit evidence across frameworks including SOC 2, ISO 27001, CMMC, FedRAMP, NIST, HIPAA, PCI DSS, and GDPR. The platform integrates with 400+ third-party tools and cloud environments, including government-certified clouds like AWS GovCloud and Azure Government. Customers use Secureframe to generate compliance documentation (SSPs, POA&Ms) and maintain continuous control monitoring across multiple regulatory regimes.
TypeScript, Ruby, Python, Java, PostgreSQL, Elasticsearch, Rails, Go, plus AWS, Azure, Salesforce, and Zendesk. They employ RAG technology for compliance automation.
SOC 2, ISO 27001, CMMC, FedRAMP, NIST 800-53/800-171, HIPAA, PCI DSS, and GDPR. The company is actively developing FedRAMP 20x support.
Secureframe'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.