Depthfirst $40 million Series A Funding: Arming Defenders in the AI Arms Race
Cybersecurity startup Depthfirst has raised $40 million in a Series A round led by Accel. Founded by veterans from DeepMind and Amazon, the company is building an AI-native defense platform.
Software is now written faster than it can be secured. As cybercriminals leverage AI to automate everything from malware creation to social engineering, the defensive side is finally getting a massive reinforcement. Depthfirst, an AI-native security startup, announced a $40 million Series A round on Wednesday to tip the scales back in favor of defenders.
Depthfirst $40 Million Series A and the General Security Intelligence Platform
According to Reuters, the funding round was led by Accel, with notable participation from SV Angel, Mantis VC, and Alt Capital. Founded in October 2024, Depthfirst offers a suite called General Security Intelligence. This AI-native platform helps enterprises scan codebases and monitor workflows for signs of credential exposure or threats in open-source components.
"AI has already changed how attackers work. Defense has to evolve just as fundamentally," said Qasim Mithani, co-founder and CEO of Depthfirst. He noted that automation has fundamentally shifted the execution of cyberattacks, requiring a parallel shift in security operations.
DeepMind and Amazon Veterans Driving Security Innovation
The company's pedigree is a blend of top-tier AI research and deep security engineering. Mithani previously spent time at Databricks and Amazon. CTO Andrea Michi joins from Google DeepMind, and co-founder Daniele Perito was formerly the head of security engineering at Square (Block).
With partnerships already established with firms like AngelList and Moveworks, Depthfirst plans to use the new capital to scale its applied research and sales teams. This comes at a critical time; just last November, Anthropic reported thwarting the first known AI-orchestrated espionage campaign, signaling that AI-driven exploits are no longer theoretical.
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