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Endor Labs

作成者: Endor Labs

Reduce security noise with a single platform for SCA, CI/CD security, compliance, and more.

Hook once, solve multiple problems.

Book a demo to discuss your use cases and custom pricing.

What can I do with Endor Labs?


Find Risk

Endor Labs graphs your entire software estate, understanding how your first-party code interacts with dependencies like OSS packages, containers, and AI models. Endor Labs' consolidated security code scanning (SCA, SAST, container scanning, secret scanning, malware analysis, and AI model discovery) leverages this context to provide accurate, correlated, and actionable security findings. Focus on Fixing

Fix What Matters

Endor Labs streamlines open-source remediation while keeping builds stable. First, Upgrade Impact Analysis inspects every code path to see whether moving to a secure library version will break direct or transitive dependencies. When the analysis shows zero functional conflicts, developers can upgrade with confidence and close the CVE immediately. If the upgrade introduces breaking changes, Endor Patches steps in. We extract the maintainer’s security fix, backport it to the exact version you use, and test it for compatibility. The patch slots in with no added features and no hidden regressions, so teams stay protected without large-scale refactoring. By pairing precise upgrade insight with drop-in patches, Endor Labs lets AppSec teams clear critical vulnerabilities quickly, maintain delivery speed, and end the cycle of last-minute fire drills.

Secure AI code

Endor Labs secures AI-generated code and boosts AppSec productivity through security feedback directly to coding agents in IDEs, multi-agent pull request reviews, and model usage governance. An MCP server operates as a security pair programmer ensuring AI coding assistants like Cursor and Copilot are producing vulnerability-free code, and AI Security Code Review reviews every pull request to surface architectural issues that typical vulnerability scanning tools miss, from unauthenticated endpoints to new PII flows. AI Model Discovery inventories all embedded or custom LLMs, enabling security and compliance teams to track, assess, and enforce safe model use before deployment.


概要

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