Meet the application security platform built for the AI era

Endor Labs has announced a significant expansion of its application security platform alongside a $93 million Series B funding round, focusing on addressing the challenges posed by AI-generated code. The new platform architecture incorporates an agentic AI framework and deep insights into open-source code, launching capabilities such as AI Security Code Review and the Endor Labs MCP Server. These tools aim to aid Application Security (AppSec) teams by enabling early detection and resolution of vulnerabilities in AI-generated code, integrating seamlessly with AI coding assistants like GitHub Copilot and Cursor. As AI-generated code becomes increasingly prevalent, constituting a significant portion of software development, AppSec teams face the challenge of managing a growing volume of security alerts. Despite the risks associated with AI-generated code, such as design flaws and security vulnerabilities, many organizations have adopted AI coding tools to boost productivity. Endor Labs' platform strives to transform this challenge into an opportunity by embedding security analysis directly into developer workflows, thereby facilitating secure AI adoption and maintaining developer productivity. The platform leverages a comprehensive graph of application dependencies, a rich dataset of vulnerability data, and persistent memory to provide contextually aware and precise security recommendations, emphasizing the importance of open-source expertise in AI code security. This approach allows for real-time security insights during code generation, enhancing collaboration between security and engineering teams and significantly reducing the time required to address vulnerabilities.

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