Endor Labs

Endor Labs is an AI-native SCA platform that uses function-level reachability analysis to cut through alert noise. The platform reports up to 97% reduction in SCA alerts by filtering out vulnerabilities in code paths your application never calls. It covers SAST, SCA, container scanning, secrets detection, and malware detection across 40+ languages.

The platform is used by OpenAI, Cursor, Snowflake, Netskope, and Atlassian.

What is Endor Labs?

Most SCA tools report every vulnerability in every dependency. Endor Labs analyzes which vulnerable code paths are actually reachable from your application. A dependency might have a known CVE, but if your code never calls the affected function, it gets deprioritized.

Key features

Scan capabilities

Reachability analysis

Endor Labs builds call graphs from your application code and traces data flow to vulnerable methods in dependencies. If a vulnerable function is buried in dead code or behind a code path your application never exercises, the finding gets deprioritized. This is function-level analysis, not just package-level.

Dependency lifecycle management

Beyond vulnerabilities, Endor Labs tracks version freshness, maintainer activity, license compliance, and security posture scoring for each dependency. This helps teams make informed decisions about which packages to trust.

SBOM management

Generates SBOMs in CycloneDX and SPDX formats with continuous updates. The dependency graph visualization shows direct and transitive dependencies and their risk status.

Malware detection

Endor Labs scans for malicious packages in addition to vulnerable ones, catching supply chain attacks like typosquatting and dependency confusion.

Setup

# Scan project
endorctl scan --path .

GitHub Actions

- name: Endor Labs Scan
  uses: endorlabs/github-action@v1
  with:
    api_key: ${{ secrets.ENDOR_API_KEY }}
    api_secret: ${{ secrets.ENDOR_API_SECRET }}
    enable_pr_comments: true

When to use Endor Labs

Endor Labs is the right choice for teams drowning in SCA alerts who need accurate prioritization based on actual exploitability.

Strengths:

• Up to 97% alert noise reduction through reachability analysis
• 40+ language support
• Combined SAST, SCA, secrets, and container scanning
• Trusted by OpenAI, Snowflake, Atlassian
• OWASP Top 10 risk detection for open source

Limitations:

• Commercial only, no free tier
• Newer platform with smaller community than established tools
• Reachability analysis accuracy varies by language

How it compares:

For context, see our guides on What is SCA? and SCA in CI/CD pipelines.

Frequently Asked Questions