Software Composition Analysis

SCA, but with reachability analysis test with

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Your developers use open source packages, AI models, and AI services. Find out what they're using and fix risks fast.

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How it works

1

Identify all dependencies

Go beyond classic SCA to discover all direct and transitive dependencies, including AI models and services.

2

Prioritize by danger

Combine reachability and EPSS to determine which vulnerabilities are the most dangerous, and remediate those first.

3

Fix faster

Identify upgrades that can be performed without risk of breaking changes and help engineering plan for the hard ones.

Securing code written by humans and AI at:

Without the tedium and minutia of tracking down individual items that might not matter, we can focus on the remaining vulnerabilities that would impact customers and our FedRAMP compliance."

FedRAMP | Raphael Theberge | Relativity

Raphael Theberge

Head of Security Enablement at Relativity

Automated Governance

Identify

Know what’s in your code

The Endor Labs platform uses an unparalleled knowledge base of open source libraries and code relationships to understand your 3rd party dependencies— including open source libraries, AI models, and AI services.

  • Get an accurate inventory (direct and transitive dependencies) and export SBOM / VEX documents
  • Correlate inventory to the Endor Labs Vulnerability Database, based on NVD, GHSA, and OSV data along with a manually-annotated, function-level database for vulnerabilities going back to 2018 for 12 languages (and growing)
  • Detect OWASP Top 10 risks for open source, including CVEs, malicious code, and license risks
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Prioritize 

See which vulnerabilities are riskiest

Endor Labs provides several filters to reduce false positives and decide which risks to address first. When used together, customers achieve a 92% reduction in findings, leaving just a handful to fix.

  • Is it in production code (not test code)?
  • Is there a fix available?
  • Is the affected function reachable?
  • Is there a high probability of exploit (high EPSS)?
  • How severe could the impact be (CVSS)?

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Continuous Risk Monitoring
Built for Developers

Remediate

Actually fix vulnerabilities

Give developers the information needed to upgrade dependencies with confidence.

  • For each version upgrade option, identify whether conflicts with other dependencies will cause problems (like breaking changes)
  • Compare the number of findings fixed by a single upgrade to the effort it will take to perform the upgrade
  • Improve mean time to remediation (MTTR) with smarter automatic pull requests and Endor Patches

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Not even your developers have this information! They’ll thank you for saying “This upgrade will be easy” or “This other one might take a few sprints because there are breaking changes.”

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AppSec for The Software Development Revolution

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