AI-driven application security platform for code and open source risk
Endor Labs builds an application security platform that analyzes codebases for risk, with a stack spanning Go, Python, C++ and Bazel plus gRPC, Thrift and GraphQL, an engineering footprint that fits deep multi-language code analysis. Accelerating, senior-weighted hiring tilts toward sales alongside engineering, and projects like named-account territory strategy and a 24x5 enterprise SLA point to a push upmarket.
Notable leadership hires: Sales Director
Endor Labs is a privately held security software company founded in 2021 and headquartered in Palo Alto, California, with 51–200 employees. Its platform helps AppSec and development teams detect, prioritize and remediate risks in proprietary and open source code, including code produced by AI tools. Capabilities cover software composition analysis, SAST, container scanning, AI model discovery and software supply chain security, with support for compliance frameworks such as FedRAMP, PCI, SLSA and NIST SSDF. The company serves organizations from startups to large enterprises and hires across the United States, United Kingdom, Panama and India.
Endor Labs uses Go, Python, C++, JavaScript and Bazel, with gRPC, Thrift and GraphQL, PostgreSQL and MongoDB on Kubernetes, plus Salesforce, HubSpot, Jira and Okta.
Yes, hiring is accelerating, led by sales and engineering with additional security and support roles, mostly at senior level, including a Sales Director search.
Endor Labs is headquartered in Palo Alto, California, and hires in the United States, United Kingdom, Panama and India.
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Endor Labs'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.