New updates have been reported about Endor Labs.
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Endor Labs has launched AURI, an AI-native security intelligence platform designed to sit inside agentic software development workflows and reconcile the trade-off between development speed and application security. Positioned as a control plane for AI-generated and human-written code, AURI combines agentic reasoning with deterministic static analysis to generate, review, and remediate code in a unified environment, targeting the growing use of autonomous coding agents.
The platform unifies intelligence across first-party code, open-source dependencies, container images, and AI models, enabling full-stack reachability analysis so security teams can focus on vulnerabilities that are actually exploitable in production. By integrating multi-file call-graph and dataflow analysis, AURI aims to identify complex business-logic flaws early in the software development lifecycle and embed security directly into code generation, review, and maintenance rather than relying on post-development scanning.
AURI’s architecture is built around specialized agents that detect, triage, and remediate issues, giving lean AppSec teams leverage to operate at scale as AI coding adoption accelerates. Industry voices cited in the announcement describe the market as undergoing a structural shift, with security controls increasingly expected to function as embedded, verifiable layers inside AI-driven workflows rather than as downstream gates.
To drive adoption and developer mindshare, Endor Labs is offering a free developer tier for its Model Context Protocol server, enabling popular AI coding assistants and autonomous agents to call AURI directly from tools such as Cursor and VS Code via Skills, MCP, and CLI integrations. Enterprises can subsequently standardize this security intelligence across CI/CD pipelines, creating consistent guardrails from the developer desktop through to production and potentially turning security from a cost center into an enabler of faster, safer AI-native software delivery.

