Endor Labs Secures $93M to Combat AI-Generated Code Vulnerabilities

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Endor Labs raises $93 million in Series B funding to expand its application security platform, focusing on detecting and fixing vulnerabilities in AI-generated code. The startup's pivot towards AI code security proves timely as organizations increasingly adopt AI programming tools.

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Endor Labs Secures $93M in Series B Funding

Endor Labs, a rapidly growing application security startup, has successfully closed a $93 million Series B funding round led by DFJ Growth, with participation from Salesforce Ventures and existing investors 123. This latest investment brings the company's total funding to $163 million, following a $70 million Series A round just 18 months ago 13.

Pivot to AI-Generated Code Security

Originally focused on securing open-source package dependencies, Endor Labs has strategically shifted its focus to address the growing challenges posed by AI-generated code 1. This pivot comes in response to the increasing adoption of AI programming tools by developers, with 75% now using AI coding assistants like GitHub Copilot and Cursor 2.

The AI Code Security Challenge

As AI transforms coding practices, it introduces new security risks. More than 50% of organizations encounter security issues with AI-produced code sometimes or frequently, according to a survey by Synk 1. Furthermore, 62% of AI-generated solutions contain bugs or security vulnerabilities, with nearly 30% including critical weaknesses 3.

Endor Labs' Expanded Platform

To address these challenges, Endor Labs has expanded its application security platform with new capabilities 12:

  1. AI-powered code scanning and risk identification
  2. Automated vulnerability prioritization and remediation
  3. Integration with popular AI coding tools like GitHub Copilot and Cursor
  4. A plugin that scans code as it's written and flags issues in real-time

Impressive Growth and Customer Base

Endor Labs has demonstrated remarkable growth since its Series A round 13:

  • 30x Annual Recurring Revenue (ARR) growth
  • 166% Net Revenue Retention (NRR)
  • Protection for over 5 million applications
  • Over 1 million scans performed weekly
  • Notable customers include OpenAI, Rubrik, Peloton, Snowflake, and Dropbox

Industry Impact and Future Plans

The funding will support the expansion of Endor Labs' platform, which aims to set a new standard in application security for the AI era 12. The company's approach combines deep technical analysis with intelligent automation to address the challenges of faster software development with less oversight 3.

Market Position and Investor Confidence

Endor Labs' unique market position and innovative approach have attracted significant investor interest. Ramin Sayar, Venture Partner at DFJ Growth, emphasized the company's timely solution to the challenges posed by AI-generated code 1. The oversubscribed funding round, occurring during a period of market volatility, demonstrates strong confidence in Endor Labs' vision and execution 3.

As the software development landscape continues to evolve with AI at its core, Endor Labs is positioning itself as a crucial player in ensuring the security and reliability of AI-generated code, potentially reshaping the future of application security in the process.

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