Endor Labs Launches AURI Security Platform for AI Coding Workflows

Endor Labs has introduced AURI, a unified security intelligence platform designed to enhance safety in AI-driven software development, announced in a press release. The company said AURI helps teams embed security intelligence directly into agentic coding workflows, allowing AI coding agents to generate and review code securely.

AURI combines agentic reasoning with deterministic static analysis to identify and remediate vulnerabilities within a single environment. It performs full-stack reachability analysis to trace data flow across code, dependencies, and container layers, while continuous ecosystem monitoring detects risky or malicious open-source components before they enter the codebase.

The platform includes agent orchestration features that enable automated detection and remediation of vulnerabilities, scaling the capabilities of security teams. A free developer tier is available through the Model Context Protocol (MCP) server, allowing integration with popular IDEs such as Cursor and VS Code. Organizations can extend AURI across CI/CD pipelines to maintain consistent security intelligence throughout the development lifecycle.

Endor Labs said AURI aims to close visibility gaps between AI coding agents and application context, giving developers and security teams real-time insight and control without compromising speed.