Endor Labs
Software supply chain security platform for AI and open-source code with reachability analysis.
Vendor Information
Endor Labs Overview
Endor Labs provides a software supply chain security platform built for the AI coding era, securing both open-source dependencies and AI-generated code. The platform builds a unified graph across code, dependencies, and container images with function-level reachability analysis, reducing false positives by 80-92% compared to traditional SCA tools. Endor Labs examines every package for over 150 risk factors using its Binary-to-Source AI Engine.
The platform features reachability-based SCA that determines if vulnerable code is actually called in production, dramatically reducing alert fatigue. Endor Labs provides automated remediation with Endor Patches, upgrade impact analysis, and seamless CI/CD integration through GitHub Actions, GitLab CI, and other tools. Repository Security Posture Management (RSPM) detects misconfigurations while build integrity verification ensures artifact authenticity.
Endor Labs is the first CNAPP to integrate with Microsoft Defender for Cloud, providing code-to-runtime reachability analysis. The platform helps organizations meet NIST SSDF, Executive Order 14028, and SLSA compliance requirements while maintaining SOC 2 Type II certification. Trusted by OpenAI, Snowflake, Dropbox, Robinhood, and Rubrik, Endor Labs enables organizations to manage open-source risk while accelerating development velocity.
Key Capabilities
Standardized capabilities mapped to this product's security niche
Opens PRs with upgraded dependency versions that resolve CVEs. Quality differentiation is whether the fix resolves transitive chains or only direct dependencies, and whether the PR is merge-safe without manual review.
Scans images stored in registries (ECR, GCR, Artifact Registry, Docker Hub), for vulnerable OS packages and application dependencies at push time or on schedule, without requiring a running container.
Determines whether a vulnerable function is actually reachable and called in the codebase: not merely present in the dependency tree. Reduces actionable CVEs to those with real exploit paths; requires static code analysis on top of dependency scanning.
Identifies hardcoded credentials, API keys, tokens, and private keys in source files. Operates on the repository and commit history, not at runtime.
Traverses the full dependency graph to surface CVEs in indirect dependencies, packages required by your direct dependencies. Direct-only scanning misses the majority of vulnerable code paths in modern polyglot projects.
Blocks or flags PRs in CI/CD pipelines based on policy-defined thresholds, configurable by severity, CVSS score, exploitability, fix availability, or CVE age. Prevents vulnerable code from merging without requiring zero-tolerance policies.
Identifies OSS licenses in the dependency tree and flags conflicts with the project's target license or policy (GPL contamination, copyleft obligations, export-controlled components). Separate from vulnerability detection.
Security rules defined as code, versioned in SCM, and evaluated automatically at every scan. Enforces consistent policy across all repositories without manual configuration per project.
Exports the dependency inventory as a machine-readable Software Bill of Materials in SPDX or CycloneDX format, consumable by downstream vulnerability scanners, compliance tools, and procurement workflows.
Identifies packages with known-malicious behavior (typosquatting, dependency confusion, backdoored releases), distinct from packages with CVEs in legitimate code.
Integrations
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