Depthfirst Devours $80 Million Series B

<p><strong>SAN FRANCISCO<&sol;strong> — depthfirst&comma; an applied AI lab on a mission to secure the world’s software&comma; has announced an &dollar;80 million Series B round&comma; led by Meritech Capital&comma; with participation from Forerunner Ventures and The House Fund&comma; and existing investors&comma; including Accel&comma; Box Group&comma; Liquid 2 Ventures&comma; Alt Capital&comma; and Mantis VC&period; This new funding&comma; announced less than 90-days after the company emerged from stealth with &dollar;40 million in Series A funding&comma; brings depthfirst’s total capital raised to &dollar;120 million&period;<&sol;p>&NewLine;<p>depthfirst was built on the idea that success in high-stakes AI domains will depend on two capabilities&colon; delivering products that solve real customer problems&comma; and developing specialized models tailored to the most critical tasks within each domain&period;<&sol;p>&NewLine;<p>Today&comma; the company also introduced its first in-house security model&comma; dfs-mini1&period; The model&comma; focused initially on securing cryptocurrency smart contracts&comma; is part of the company’s broader effort to build specialized intelligence into the security platform it already delivers to customers&period; dfs-mini1 was built on an open source model&comma; post-trained through reinforcement learning in security-specific environments&comma; and evaluated on OpenAI EVMBench&comma; a benchmark for smart contract vulnerabilities&period;<&sol;p>&NewLine;<p>In initial application&comma; dfs-mini1 outperformed frontier models while running at 10x to 30x lower cost&period; Early internal evaluations also suggest that dfs-mini1 can generalize beyond smart contracts and perform better on other security tasks&comma; providing preliminary evidence that its training approach transfers across security domains&period;<&sol;p>&NewLine;<p>&OpenCurlyDoubleQuote;When you own the training process&comma; you can optimize for what actually matters in your domain&comma;” said Andrea Michi&comma; Chief Technology Officer of depthfirst&period; &OpenCurlyDoubleQuote;In our case&comma; that means vulnerability detection and verification&period; The result is a model that can be cheaper to run&comma; better at the task&comma; more responsive to continued investment than a general-purpose system&period;”<&sol;p>&NewLine;<p>AI has fundamentally changed how software is built&comma; allowing businesses across industries to release more code&comma; services&comma; and infrastructure changes than ever before&period; At the same time&comma; attackers are using AI to uncover weaknesses faster and scale their efforts in new ways&comma; while security programs run legacy systems that were never built to handle these advancements&period; depthfirst addresses this shift with an AI-native platform that reasons across entire software systems&comma; identifies real risk&comma; and delivers precise fixes directly within developer workflows&comma; better enabling organizations to secure software at the speed it is created&period;<&sol;p>&NewLine;<p>&OpenCurlyDoubleQuote;Recent public-market reactions suggest investors are starting to recognize that AI will disrupt the legacy security stack&comma;” said Qasim Mithani&comma; co-founder and CEO of depthfirst&period; &OpenCurlyDoubleQuote;But to win in security&comma; companies will need to deploy security-specific models in products optimized for real security workflows&period; To build these models&comma; you need specialized data&comma; domain-specific evaluation&comma; and deep expertise in post-training&period; Our team is one of the few in security able to do that&period;”<&sol;p>&NewLine;<p>Since making its products generally available in late 2025&comma; the company has partnered with Fortune 500 companies and fast-growing software businesses&comma; including ClickUp&comma; Lovable&comma; Supabase&comma; incident&period;io&comma; and Moveworks&comma; to modernize their security programs&period; depthfirst’s platform has already seen early success delivering many orders of magnitude higher recall at a small fraction of the noise than other approaches&semi; 80&percnt; of its fix recommendations are accepted and merged by developers&period;<&sol;p>&NewLine;<p>&OpenCurlyDoubleQuote;Securing modern software systems is more important than ever with the increased sophistication of AI-enabled attacks&comma;” said Arsham Memarzadeh&comma; General Partner at Meritech Capital&period; &OpenCurlyDoubleQuote;What impressed us about depthfirst is their rare combination of research capabilities and security experience that has helped them deliver the exact solution customers need&period;”<&sol;p>&NewLine;<p>&OpenCurlyDoubleQuote;What stands out about depthfirst is that they are not stopping at the application layer&comma;” said Sara Ittelson&comma; Partner at Accel&period; &OpenCurlyDoubleQuote;They are building a company that can own both the product experience and the intelligence underneath it&period; We continue to believe this approach will fundamentally change how modern systems are secured&period;”<&sol;p>&NewLine;<p>The company says the new funding will be used to train additional security models across new domains&comma; expand depthfirst’s AI research team&comma; and scale enterprise adoption&period;<&sol;p>&NewLine;

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