AI Code Security

Endor Labs Secures $93M to Secure AI-Generated Code

Cybersecurity

The surge in AI-generated code presents both opportunities and challenges, particularly in the realm of security. Recognizing this paradigm shift, Endor Labs, a company initially focused on securing open-source package dependencies, has strategically pivoted to address the emerging vulnerabilities in AI-produced code.

According to a recent survey, a significant number of organizations are already grappling with security concerns related to AI-generated code. Endor Labs' platform aims to mitigate these risks by reviewing code, identifying potential threats, and suggesting precise fixes, some of which can be applied automatically.

This strategic redirection has proven fruitful. Endor Labs recently announced a $93 million Series B funding round, led by DFJ Growth, with participation from prominent investors like Salesforce Ventures and Lightspeed Venture Partners. The funding will fuel the expansion of Endor's platform and further development of its capabilities.

Addressing the AI Code Security Gap

Endor Labs provides a plugin for popular AI-powered programming tools like Cursor and GitHub Copilot. This plugin scans code as it's being written, proactively flagging potential issues and vulnerabilities. This approach aims to integrate security into the development process seamlessly.

Varun Badhwar, CEO of Endor Labs, emphasized the company's strong momentum, citing a 30x annual recurring revenue growth since its Series A funding in 2023. This new funding round enables Endor Labs to further invest in delivering outcomes for its customers in a dynamic market.

Endor Labs has also launched a tool to help organizations identify where AI models and services integrate within their codebase. This tool evaluates these integrations for security flaws, providing enhanced oversight as AI programming tools become increasingly prevalent.

Currently, Endor Labs protects over 5 million applications and conducts over a million scans weekly for a diverse customer base, including notable names like OpenAI, Rubrik, Peloton, Snowflake, Egnyte, and Dropbox.

Ramin Sayar, venture partner at DFJ Growth, highlighted Endor Labs' timely positioning in the market. As generative AI transforms coding practices, the company is providing critical visibility and control over the vast amounts of code being generated.

With a team of 133 employees across offices in Palo Alto and Bangalore, Endor Labs is poised to continue innovating in the rapidly evolving landscape of AI-powered software development and security. The company's focus on proactive threat detection and automated remediation is increasingly crucial as AI becomes more deeply integrated into the software development lifecycle.

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Source: TechCrunch