Socket Raises $60M to Strengthen AI Security
Socket, a Santa Clara-based cybersecurity startup, raised $60 million in Series C funding to expand its AI-focused software supply chain security platform, reaching a $1 billion valuation. The company uses real-time behavioral analysis to detect malicious code in open-source dependencies, preventing zero-day exploits like a compromised Axios library before they reach production environments.
Socket, founded in 2020 by cybersecurity expert Feross Aboukhadijeh, has secured $60 million in Series C funding, propelling its valuation to $1 billion. The round was led by Thrive Capital, with participation from Andreessen Horowitz, Abstract Ventures, and Capital One Ventures, bringing total funding to $125 million. The company specializes in software supply chain security, addressing the growing risks of unvetted open-source code in AI-driven development environments. Modern applications rely heavily on third-party libraries, with up to 90% of code often sourced externally. AI tools like GitHub Copilot and Cursor accelerate development but also increase exposure to malicious packages, including typosquatting attacks and backdoored updates. Socket’s platform shifts from traditional reactive vulnerability scanning to real-time behavioral analysis, detecting threats like obfuscated code, unauthorized network access, or suspicious scripts before integration. In a recent case, Socket identified a compromised Axios JavaScript library within six minutes of its release, allowing over 2,000 corporate clients to block the zero-day malware. The company’s approach contrasts with legacy Software Composition Analysis (SCA) tools, which rely on outdated vulnerability databases. Thrive Capital partner Philip Clark emphasized the need for proactive defenses, stating that AI-driven attacks outpace traditional reactive measures. The funding will support platform integrations, new product launches, and team expansion to meet enterprise demand. Socket also expanded its capabilities through acquisitions, including Danish startup Coana for advanced reachability analysis, reducing false positives by up to 90%. The company’s focus on real-time threat detection aligns with the escalating risks in AI-accelerated software development, positioning it as a critical player in cybersecurity innovation.
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