Endor Labs vs FossID Workbench

Endor Labs is an application security platform spanning code, secrets, dependencies, container images and coding agents. AURI for Developers helps scan for vulnerabilities, detect secrets and block malicious dependencies in AI coding workflows. Endor Code provides AI SAST and secrets detection; Endor Open Source adds reachability-based SCA, malicious-package detection, AI model governance, and SBOM and VEX generation. The platform can inventory coding agents, models, MCP servers and skills, then enforce policies on agent actions. Integrations include GitHub, GitLab, Bitbucket, CircleCI, Jenkins, Jira, Slack, Vanta, Cursor, Claude, Gemini and GitHub Copilot. Scans can run through cloud apps, inside CI/CD runners or with Endor Outpost for scheduled monitoring and on-premises deployment. The company says cloud scanning briefly clones code into a container that is destroyed after scanning, while CI/CD scanning keeps code in the runner. The free Developer tier supports local scans and read-only vulnerability data, but has no UI, policies or scan history. Paid plans are seat-based and require contacting sales for pricing.

FossID Workbench is a software composition analysis tool for identifying and governing third-party software in codebases. It analyzes direct and transitive dependencies, scans unmanaged source code across programming languages, and detects embedded open-source snippets, including modified code. ID Assist proposes component identifications, while License Extractor extracts file-level license text. Vulnerable Snippet Finder locates code blocks linked to CVEs, with VEX data adding exploitability context. Workbench creates, imports, consolidates, and exports software bills of materials with component, license, vulnerability, and usage information in SPDX or CycloneDX formats. Policy Management can enforce license, security, and usage rules across projects. GitHub, GitLab, and Bitbucket imports are supported, alongside CI/CD scanning, gating, pull-request notifications, and API workflows. Deployment options include cloud, hybrid, on-premises, and offline air-gapped setups. It supports many ecosystems, including JavaScript, Java/Kotlin, Python, Rust, Go, C/C++, .NET, and others. Pricing is available on request.