Depthfirst Raises $80M Series B for AI Cybersecurity

Depthfirst, an innovator in applied artificial intelligence for software security, has successfully closed an $80 million Series B funding round. This significant capital infusion propels the company's total funding to $120 million, underscoring robust investor confidence in its AI-native approach to cybersecurity. The round was spearheaded by Meritech Capital, with substantial contributions from Forerunner Ventures and The House Fund. Key existing backers, including Accel, Box Group, Liquid 2 Ventures, Alt Capital, and Mantis VC, also participated, reaffirming their commitment to the company's vision.

This latest funding comes on the heels of a rapid emergence from stealth, with Depthfirst having secured $40 million in Series A financing just under three months prior. The swift follow-on investment highlights the market's urgent need for advanced security solutions capable of combating increasingly sophisticated threats, particularly those amplified by AI.

Central to Depthfirst's strategy is the development of specialized AI models designed for high-stakes environments. The company unveiled its proprietary model, dfs-mini1, initially engineered to fortify cryptocurrency smart contracts. Built on an open-source framework and refined through reinforcement learning in security-focused simulations, dfs-mini1 demonstrated superior performance on benchmarks like OpenAI's EVMBench, outperforming general-purpose models while operating at a fraction of the cost—reportedly 10x to 30x less expensive. Early indications suggest this model's capabilities extend beyond smart contracts, hinting at broad applicability across diverse security challenges.

The broader implications for the cybersecurity sector are considerable. As AI-driven attacks become more prevalent, the demand for AI-native security platforms that can analyze entire software systems, pinpoint vulnerabilities, and offer actionable, developer-ready fixes is escalating. Depthfirst's platform aims to integrate seamlessly into developer workflows, with an impressive 80 percent acceptance rate for its suggested code corrections among its current clientele. This high adoption rate speaks to the practical efficacy and immediate value proposition of their AI-driven solutions.

The company's client roster includes prominent organizations such as ClickUp, Supabase, incident.io, Moveworks, and Lovable, spanning both Fortune 500 enterprises and fast-growing tech firms. This diverse adoption validates Depthfirst's ability to address complex security needs across various industries.

With the newly acquired capital, Depthfirst plans to significantly bolster its AI research initiatives, expand its portfolio of specialized security models, and accelerate the deployment of its platform within enterprise environments. As Qasim Mithani, Co-Founder and CEO, stated, owning the training process allows for optimization tailored to specific security domains, leading to more effective and cost-efficient solutions than general-purpose AI systems. This focus on domain-specific intelligence is a key differentiator in a crowded market.

The cybersecurity market, projected to reach hundreds of billions in the coming years, is ripe for disruption by AI. Companies like Depthfirst, with their deep expertise in both AI research and security, are well-positioned to capture significant market share by offering solutions that are not only powerful but also deeply integrated into the software development lifecycle. The strategic investment from firms like Meritech Capital, known for backing category-defining technology companies, signals a strong belief in Depthfirst's potential to redefine software security.