Software security startup Depthfirst has raised $80 million in Series B funding, bringing the total raised to $120 million in less than three months after closing its Series A funding round in mid-January.
The investment was led by Meritech Capital, with additional support from Forerunner Ventures, The House Fund, and previous backers Accel, Alt Capital, Box Group, Liquid 2 Ventures, and Mantis VC.
Based in San Francisco, Depthfirst is an applied AI lab founded in 2024 by DeepMind, Databricks, and Faire technical leaders, focused on addressing weaknesses across software and infrastructure layers.
Along with the fresh funding, the company announced the launch of Dfs-mini1, its first in-house security model, focused on securing cryptocurrency smart contracts.
Built on an open source model and part of Depthfirst’s effort to integrate specialized intelligence capabilities into its security platform, Dfs-mini1 was trained in security-specific environments.
According to the startup, the security model can generalize beyond smart contracts, meaning that the training approach transfers across security domains.
Depthfirst will use the new funds to expand its AI research team, train additional security models across new security domains, and scale enterprise adoption.
“To win in security, companies will need to deploy security-specific models in products optimized for real security workflows. To build these models, you need specialized data, domain-specific evaluation, and deep expertise in post-training. Our team is one of the few in security able to do that,” said Depthfirst co-founder and CEO Qasim Mithani.
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