Endor Labs, a company specializing in application security, announced today that it has secured $93 million in a Series B funding round. The round was led by DFJ Growth, with participation from Salesforce Ventures and existing investors including Lightspeed Venture Partners, Coatue, Dell Technologies Capital, Section 32, and Citi Ventures.
Key Points:
- Endor Labs raised $93 million in Series B funding led by DFJ Growth, with participation from Salesforce Ventures and existing investors.
- The company’s platform secures over 5 million applications, performing over a million scans weekly for clients like OpenAI and Dropbox.
- Endor Labs focuses on identifying and mitigating risks in AI-generated code, offering tools that integrate with AI programming assistants.
- The funding will support platform expansion, hiring, and global go-to-market efforts.
Founded by Varun Badhwar and Dimitri Stiliadis, Endor Labs offers a platform designed to secure applications in the age of AI-generated code. The platform currently protects over 5 million applications and performs more than a million scans each week for clients such as OpenAI, Rubrik, Peloton, Snowflake, Egnyte, and Dropbox.
The company’s tools are tailored to address the unique security challenges posed by AI-generated code. Endor Labs provides plugins for AI-powered programming tools like Cursor and GitHub Copilot, enabling real-time code scanning and vulnerability detection as developers write code.
“As generative AI transforms coding practices, developers are generating vast amounts of code without thorough visibility and control,” said Ramin Sayar, venture partner at DFJ Growth. “Endor Labs is not only setting a new standard in application security—the team is creating a movement by launching their expanded platform.”
With the new funding, Endor Labs plans to expand its platform capabilities, hire additional engineering talent, and enhance its global go-to-market strategies. The company aims to evolve its product to support the next generation of AI-native security workflows, ensuring that organizations can confidently adopt AI-driven development practices without compromising on security.