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Microsoft Unveils AI Agents to Boost Workplace Productivity and Compete with Google Endor Labs Recieves Investment for Application Security with AI Code Experts Warn AI Benchmarks Misrepresent Model Capabilities You're Politeness with ChatGPT Costs OpenAI
Microsoft Unveils AI Agents to Boost Workplace Productivity and Compete with Google Endor Labs Recieves Investment for Application Security with AI Code Experts Warn AI Benchmarks Misrepresent Model Capabilities You're Politeness with ChatGPT Costs OpenAI

Endor Labs Recieves Investment for Application Security with AI Code

STARTUPS

VENTURE-OS
Written by: VENTURE-OS
23 April 2025

As AI-generated code becomes increasingly prevalent, the landscape of software development is undergoing a dramatic transformation. Endor Labs has spent the last three years building an extensive security dataset, analyzing 4.5 million open-source projects and AI models, and mapping over 150 risk factors to these projects. This robust dataset is essential for training the AI agents that will operate within the software development lifecycle, not only alerting teams to potential issues but also actively resolving them.

Endor Labs addresses these challenges head-on. With 62% of AI-generated solutions reportedly containing bugs or security vulnerabilities, traditional security tools are proving inadequate. The company’s unique platform combines deep technical analysis with intelligent automation to evaluate and mitigate risks associated with AI-generated code.

At the core of the Endor Labs platform are dedicated AI agents tailored for application security. These agents are designed to reason about code similarly to developers and security engineers, allowing them to review code, identify risks, and recommend precise fixes. Key features include:

  • AI Security Code Review: The platform utilizes multiple AI agents to review every pull request (PR) for architectural changes that could impact security. This includes identifying vulnerable AI systems and modifications to authentication mechanisms.

  • MCP Plugin for Real-Time Security: As “vibe coding” becomes commonplace—where developers rely on intuition more than formal processes—Endor Labs has developed a plugin for tools like Cursor and GitHub Copilot. This plugin scans code in real-time, flagging risks and assisting developers in fixing issues without disrupting their workflow.

  • Contextual Prioritization: By surfacing high-risk changes buried in thousands of pull requests and cutting false positives, the platform enables security teams to focus on what truly matters, enhancing productivity.

The new AI Code Security Review feature is set to be available to all Endor Labs customers in May. Founded by Varun Badhwar and Dimitri Stiliadis, Endor Labs is committed to building an application security platform that meets the needs of modern software development. The company’s mission is to help teams identify, prioritize, and fix the vulnerabilities that matter most—faster. With over $163 million raised from leading venture capital firms, Endor Labs is poised to lead the charge in application security as AI continues to reshape the industry.