Endor Labs Named Leader in Agentic Development Security

Endor Labs, the leader in agentic development security, announced that it has been named a Leader in The Forrester Wave™: Agentic Development Security Tools, Q4 2026. Endor Labs received the highest possible score in seven criteria, which the company believes reflects its approach to securing the rapidly evolving agentic development lifecycle (ADLC).

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As organizations increasingly rely on AI coding agents to write, modify and deploy software, the application security landscape is undergoing a fundamental shift. Coding agents can now independently select dependencies, execute commands and modify application code, introducing security decisions and risks that extend beyond traditional application security testing. This evolution requires a new approach to security that governs agent behavior, evaluates the software agents produce and provides actionable remediation guidance throughout development.

“AI agents are fundamentally changing how software gets built, and security needs to evolve just as quickly,” said Varun Badhwar, CEO and co-founder of Endor Labs. “We believe our recognition as a Leader reflects the importance of securing the entire agentic development lifecycle, from the actions agents take to the code they produce. As organizations give AI agents more autonomy, our focus is on making sure security can keep pace without slowing innovation.”

Endor Labs has built its platform to address the expanding security requirements of AI-driven software development, combining agent governance, application security testing, dependency protection and AI-powered remediation within developers’ existing workflows.

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Through integrations with Model Context Protocol (MCP), skills, command-line interfaces (CLI) and APIs, Endor Labs brings security directly into the environments where coding agents operate. Its capabilities include:

• Agent governance: Applies security policies to supported coding agent actions through native hooks, helping organizations control agent behavior and reduce risks within development environments.
• AI-powered application security: Continuously analyzes application code and dependencies to identify and prioritize vulnerabilities using deep application context.
• Software supply chain protection: Evaluates open source packages at installation time through Endor Labs Package Firewall, helping prevent risky dependencies from entering the development environment.
• Agent-native security workflows: Integrates with major AI coding agents, including Claude Code, Codex, Cursor and Devin, to deliver security guidance and remediation capabilities within existing development processes.

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“As AI coding agents take on greater responsibility across the software development lifecycle, application security must evolve beyond simply identifying vulnerabilities in code,” Varun Badhwar, CEO & Founder, Endor Labs continued. “Endor Labs is advancing AI security through deeper code context, connecting application code, dependencies and data flows to help organizations better understand, prioritize and address security risks. As enterprises scale agentic development, the ability to combine this context with consistent security controls and actionable guidance within existing development workflows will become increasingly important.”