Software Composition Analysis

Software Composition Analysis that cuts false positives by 92%

Your developers use open source packages, AI models, and AI services. Find out what they're using and fix risks fast.
Loved by security teams, painless for developers at:

How Endor Labs SCA Reduces Risk and Noise

Identify all dependencies
Don’t just trust our word for it, hear how Endor Labs has helped similar organizations take control of their SDLC.
Prioritize by danger
Combine reachability and EPSS to determine which vulnerabilities are the most dangerous, and remediate those first.
Fix faster
Identify upgrades that can be performed without risk of breaking changes and help engineering plan for the hard ones.
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."
Man wearing glasses and a black suit with a light blue shirt against a yellow background.
Raphael Theberge
Head of Security Enablement at Relativity
Identify
Know what’s in your code
Get complete visibility into your software supply chain—including direct and transitive open-source dependencies, AI models, and third-party services.
Full dependency inventory
Reachability-aware vulnerability data
Open-source security risks
Prioritize
See which vulnerabilities are riskiest
Cut false positives and focus on the small set of vulnerabilities that pose real risk in production.
In production code (not test or dev)
Fix available and safe to apply
Function is reachable at runtime
Work without leaving your editor—no context switching between different tools and dashboards
High impact severity (CVSS)
Fix
Actually fix vulnerabilities
Give developers clear guidance to upgrade dependencies with confidence.
Understand upgrade risk
Maximize impact per upgrade
Reduce MTTR
Flowchart showing integration paths from GitHub, GitLab, and PHP to Slack and Microsoft platforms, with a C# icon connected to Slack.

Your Tools, Your Languages
All Secured

Lean how Endor Labs fits into your ecosystem.
Flow diagram connecting software development tools and platforms including .NET, JetBrains, GitHub, Google, and Vercel.

FAQs

What is AURI?

AURI by Endor Labs is an AI-native application security platform built for agentic software development. It equips security agents with the tools, skills, and context they need to find vulnerabilities, validate they're real, and fix them — all within your existing development workflows. At its core is a code context graph that maps how your code, dependencies, container images, and services actually connect.

What is AURI?

AURI by Endor Labs is an AI-native application security platform built for agentic software development. It equips security agents with the tools, skills, and context they need to find vulnerabilities, validate they're real, and fix them — all within your existing development workflows. At its core is a code context graph that maps how your code, dependencies, container images, and services actually connect.

What is AURI?

AURI by Endor Labs is an AI-native application security platform built for agentic software development. It equips security agents with the tools, skills, and context they need to find vulnerabilities, validate they're real, and fix them — all within your existing development workflows. At its core is a code context graph that maps how your code, dependencies, container images, and services actually connect.

See for yourself why Endor Labs is the fastest growing AppSec company ever.