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AI-native application security platform combining agentic reasoning and deterministic program analysis for code and supply chain security.
Endor Labs delivers an AI-native application security platform that integrates with AI coding workflows to detect, triage, and remediate vulnerabilities in source code, dependencies, secrets, containers, and supply chains with verifiable and audit-ready evidence.
Updated Oct 22, 2026
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AURI helps agents write secure code from the start and governs the actions they take, without slowing builders down.
Your policy is enforced at the moment of action, and the audit trail comes with it.
AURI inventories every coding agent, model, MCP server, and skill and learns your architecture from context files ( AGENTS.md, CLAUDE.md ), design docs, and custom prompts.
Set policy once and agents work inside it instead of around it.
AURI plugs into the coding agent harness to block malicious packages before install, verify code is secure, fix vulnerabilities, and flag secrets before they’re leaked.
Pre-built workflows triage findings and remediate dependencies with full context of your codebase from AURI.
Endor Labs replaces disconnected scanners, triage queues, and remediation handoffs with one continuously managed workflow.
Caught before the commit. One policy from laptop to pipeline, so coverage doesn't depend on which team configured what.
Only vulnerabilities your code can actually reach make it into your backlog. Your team fixes what's exploitable instead of working through CVEs that were never a risk.
See everything that touches your code, strengthen the security posture of source code repositories, and verify the integrity of every build.
Get visibility into tools and GitHub Actions used in your CI, understand security coverage and risks, and find policy violations.
Detect repo misconfigurations, best practices, and risks with over 50 out-of-the-box policies.
Ensure the authenticity of software artifacts, confirming their source and that they have not been tampered with.
Developer, architect, and security engineer agents review every PR for the architectural risk legacy scanners miss: an endpoint shipped without authentication, a removed OAuth state parameter, new PII collection.
Agents trace the dataflow across every repo and PR to cut up to 95% of false positives and to catch the logic flaws rule-based scanners have no signature for.
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