TechCrunch News 04月23日
Endor Labs, which builds tools to scan AI-generated code for vulnerabilities, lands $93M
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Endor Labs是一家专注于AI生成代码安全的公司,它通过提供平台来审查代码、识别风险,并推荐和自动应用修复方案。该公司最近完成了9300万美元的B轮融资,使其总融资额达到1.63亿美元。Endor Labs的产品包括针对AI编程工具的插件,可以扫描代码并标记问题。该公司声称每周为包括OpenAI、Rubrik、Peloton、Snowflake、Egnyte和Dropbox在内的客户运行超过一百万次扫描,并且自2022年10月推出以来,取得了显著的增长,年经常性收入增长了30倍。

🛡️ 随着AI生成代码的普及,超过50%的组织面临与AI代码相关的安全问题,这促使Endor Labs将业务重心转向AI生成的代码安全领域。

💡 Endor Labs提供一个平台,该平台不仅可以审查代码并识别风险,还可以推荐精确的修复方案并自动应用。它为如Cursor和GitHub Copilot的AI编程工具提供插件,以便在编写代码时扫描并标记问题。

💰 Endor Labs完成了9300万美元的B轮融资,由DFJ Growth领投,Salesforce Ventures、Lightspeed Venture Partners等参投,这使得公司的估值远高于A轮融资时的水平。这笔资金将用于扩大其平台。

🚀 Endor Labs声称保护超过500万个应用程序,每周为客户运行超过一百万次扫描,并且自2022年10月推出以来,年经常性收入增长了30倍,显示出强劲的市场增长势头。

🤝 投资者DFJ Growth认为Endor Labs抓住了机遇,因为生成式AI正在改变编码实践,开发者在缺乏全面可见性和控制的情况下生成大量代码。Endor Labs正在通过其扩展平台树立新的应用安全标准。

AI-generated code is no doubt changing how software is built, but it’s also introducing new security challenges. More than 50% of organizations encounter security issues with AI-produced code sometimes or frequently, according to a late 2023 survey by developer security platform Synk.

For Endor Labs, that opportunity proved alluring enough that it chose to change course somewhat. Endor started off helping companies secure their open-source package dependencies — in fact, it even raised a $70 million Series A round just two years ago to grow its developer pipeline governance service.

But the startup’s co-founders Varun Badhwar and Dimitri Stiliadis saw growing demand elsewhere — spotting and combating vulnerabilities in the growing masses of code that engineers use AI to generate and fine-tune.

Today, Endor runs a platform that, it claims, can not only review code and identify risks, but also recommend “precise” fixes and apply them automatically. The company offers a plugin for AI-powered programming tools like Cursor and GitHub Copilot that scans code as it’s written and flags issues.

The pivot could prove to be a wise choice. On Wednesday, Endor announced that it closed a $93 million Series B round led by DFJ Growth, with participation from Salesforce Ventures, Lightspeed Venture Partners, Coatue, Dell Technologies Capital, Section 32, and Citi Ventures.

Badhwar (CEO) said that the round values Endor at “orders of magnitude higher” than its Series A valuation. The proceeds will be used to expand Endor’s platform, he added. The Series B brings the startup’s total capital raised to $163 million.

“This new round positions us to continue delivering, even in a tougher macro environment than similar companies faced five to ten years ago,” Badhwar told TechCrunch. “We raised now because we’re seeing strong momentum — 30x annual recurring revenue growth since our Series A in 2023 — and this lets us double down on delivering outcomes for our customers.”

Endor Labs’ platform for reviewing AI-generated code security.Image Credits:Endor Labs

Several months ago, Endor launched a tool designed to help organizations spot where AI models and services integrate with their codebase, and evaluate the integrations for security flaws. The idea is to provide better oversight as AI programming tools proliferate, said Badhwar.

Endor says it now protects more than 5 million applications and runs over a million scans each week for customers including OpenAI, Rubrik, Peloton, Snowflake, Egnyte and Dropbox.

“We came out of stealth in October 2022 — right as interest rates spiked — and we’ve seen strong traction ever since,” Badhwar said.

Ramin Sayar, venture partner at DFJ Growth, said his firm invested because Endor found itself at the right place, at the right time.

“As generative AI transforms coding practices, developers are generating vast amounts of code without thorough visibility and control,” Sayar told TechCrunch. “Endor Labs is not only setting a new standard in application security — the team is creating a movement by launching their expanded platform.”

Endor currently has 133 employees concentrated in its offices in Palo Alto and Bangalore.

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