AI-powered security compliance automation for regulated enterprises
Secureframe automates evidence collection and audit readiness across compliance frameworks—SOC 2, FedRAMP, CMMC, NIST, ISO 27001—using AI to generate documentation and monitor controls. The hiring mix is heavily sales-weighted (8 roles) relative to engineering (3), paired with active projects around mid-market sales cycles and CMMC adoption, indicating a sales-led growth phase. Pain points centered on multi-threaded sales cycles and revenue predictability suggest they're scaling past founder-led selling into repeatable processes.
Secureframe provides a compliance automation platform that uses AI and 400+ integrations to collect audit evidence, verify security controls, and generate compliance documents. The product serves startups through defense contractors and government agencies, with native support for regulated environments like AWS GovCloud and Microsoft GCC High. Founded in 2020 and headquartered in San Francisco, the company is backed by Kleiner Perkins, Accomplice, and In-Q-Tel. Current operational focus spans rapid CMMC Level 2 adoption, mid-market account expansion, and infrastructure to support high-growth selling.
TypeScript, Ruby on Rails, PostgreSQL, Elasticsearch, Python, Java, AWS, Azure, and GitHub. Sales and revenue tools include Salesforce, Gong, Apollo, and Linear for ticketing.
Yes. 18 active roles across sales (8), engineering (3), support (2), design (1), product (1), ops (1), and security (1). Hiring in the United States and India.
SOC 2, FedRAMP, CMMC, NIST 800-53, NIST 800-171, ISO 27001, HIPAA, PCI DSS, and GDPR. Platform integrates with GovCloud and government cloud environments.
Other companies in the same industry, closest in size