Depthfirst Secures $80 Million for AI Cybersecurity Dominance
April 3, 2026, 10:10 am
Depthfirst, an AI lab securing software systems, just raised $80 million in Series B funding. This brings its total capital to $120 million. The company is advancing its AI-native cybersecurity platform. It develops specialized models for critical security tasks. This investment fuels expansion of its AI research team. It also accelerates enterprise adoption. The focus is on disrupting traditional security with powerful, domain-specific AI solutions.
San Francisco, CA – Depthfirst, a leader in AI-native cybersecurity, has announced a substantial $80 million Series B funding round. This significant capital injection underscores investor confidence. It solidifies the company's position in the rapidly evolving security landscape. The new funding brings Depthfirst's total capital raised to an impressive $120 million. This follows a $40 million Series A round less than 90 days prior.
Meritech Capital spearheaded the Series B round. Noteworthy participation came from Forerunner Ventures and The House Fund. Existing investors also reaffirmed their commitment. These include Accel, Box Group, Liquid 2 Ventures, Alt Capital, and Mantis VC. This broad investor base signals strong belief in Depthfirst's innovative approach.
The company plans strategic allocation of the newly acquired funds. A primary objective is expanding its AI research team. This growth will foster new breakthroughs in security intelligence. Another key area is the development of additional specialized security models. These models will target new and complex threat domains. Enterprise adoption of its advanced platform will also accelerate. This expansion aims to meet growing market demand.
Depthfirst operates as an applied AI lab. It is dedicated to securing modern software systems. Its core mission addresses the increasing sophistication of AI-enabled attacks. The company’s AI-native platform offers a revolutionary approach. It analyzes entire software systems comprehensively. This includes code, infrastructure, and business logic. The platform identifies complex vulnerabilities. It focuses on the most critical issues. Developers receive ready-to-merge fixes directly within their workflows. This streamlines the remediation process.
A significant announcement accompanied the funding news. Depthfirst introduced its first in-house security model, dfs-mini1. This model initially targets cryptocurrency smart contracts. It represents a major step forward in specialized AI security. Dfs-mini1 was built upon an open-source foundation. It underwent extensive training through reinforcement learning. This training occurred in security-specific environments. Its performance was rigorously evaluated. OpenAI’s EVMBench, a benchmark for smart contract vulnerabilities, confirmed its efficacy.
Dfs-mini1 has demonstrated superior performance. It outperformed existing frontier models. Crucially, it operates at a fraction of the cost. The model boasts 10x to 30x lower operational expenses. Early internal testing indicates broader capabilities. The model can generalize beyond smart contracts. It shows potential for wider security applications. This adaptability suggests significant scalability across multiple domains.
The cybersecurity industry faces unprecedented challenges. Traditional security stacks struggle against advanced threats. AI-enabled attacks are increasingly sophisticated. Depthfirst’s strategy directly confronts these challenges. It centers on developing domain-specific AI models. These models are tailored for high-stakes applications. Cybersecurity is a prime example. The company believes AI will fundamentally disrupt legacy security solutions.
Success in modern security demands specialized tools. Companies need security-specific models. These models must integrate into real security workflows. Building such models requires unique components. Specialized data is paramount. Domain-specific evaluation frameworks are essential. Deep expertise in post-training techniques is also crucial. Depthfirst positions itself as a leader in this specialized capability.
The platform is already making a tangible impact. It is utilized by a diverse clientele. This includes Fortune 500 corporations. High-growth technology firms also leverage its power. Companies like ClickUp, Supabase, incident.io, Moveworks, and Lovable are among its users. These early adopters validate its real-world utility.
Depthfirst reports impressive engagement metrics. Approximately 80 percent of its recommended fixes are accepted. Developers merge these fixes into their codebases. This high acceptance rate highlights the platform's accuracy. It also reflects its seamless integration into development pipelines. The solutions are practical and actionable.
The future of software security rests on advanced AI. Depthfirst is at the forefront of this revolution. Its continuous innovation drives new capabilities. The company is committed to securing digital infrastructure. Its domain-specific AI models promise robust protection. This approach changes how modern systems are safeguarded. Expect further advancements in AI-native security from Depthfirst. The industry watches its trajectory closely."
San Francisco, CA – Depthfirst, a leader in AI-native cybersecurity, has announced a substantial $80 million Series B funding round. This significant capital injection underscores investor confidence. It solidifies the company's position in the rapidly evolving security landscape. The new funding brings Depthfirst's total capital raised to an impressive $120 million. This follows a $40 million Series A round less than 90 days prior.
Meritech Capital spearheaded the Series B round. Noteworthy participation came from Forerunner Ventures and The House Fund. Existing investors also reaffirmed their commitment. These include Accel, Box Group, Liquid 2 Ventures, Alt Capital, and Mantis VC. This broad investor base signals strong belief in Depthfirst's innovative approach.
The company plans strategic allocation of the newly acquired funds. A primary objective is expanding its AI research team. This growth will foster new breakthroughs in security intelligence. Another key area is the development of additional specialized security models. These models will target new and complex threat domains. Enterprise adoption of its advanced platform will also accelerate. This expansion aims to meet growing market demand.
Depthfirst operates as an applied AI lab. It is dedicated to securing modern software systems. Its core mission addresses the increasing sophistication of AI-enabled attacks. The company’s AI-native platform offers a revolutionary approach. It analyzes entire software systems comprehensively. This includes code, infrastructure, and business logic. The platform identifies complex vulnerabilities. It focuses on the most critical issues. Developers receive ready-to-merge fixes directly within their workflows. This streamlines the remediation process.
A significant announcement accompanied the funding news. Depthfirst introduced its first in-house security model, dfs-mini1. This model initially targets cryptocurrency smart contracts. It represents a major step forward in specialized AI security. Dfs-mini1 was built upon an open-source foundation. It underwent extensive training through reinforcement learning. This training occurred in security-specific environments. Its performance was rigorously evaluated. OpenAI’s EVMBench, a benchmark for smart contract vulnerabilities, confirmed its efficacy.
Dfs-mini1 has demonstrated superior performance. It outperformed existing frontier models. Crucially, it operates at a fraction of the cost. The model boasts 10x to 30x lower operational expenses. Early internal testing indicates broader capabilities. The model can generalize beyond smart contracts. It shows potential for wider security applications. This adaptability suggests significant scalability across multiple domains.
The cybersecurity industry faces unprecedented challenges. Traditional security stacks struggle against advanced threats. AI-enabled attacks are increasingly sophisticated. Depthfirst’s strategy directly confronts these challenges. It centers on developing domain-specific AI models. These models are tailored for high-stakes applications. Cybersecurity is a prime example. The company believes AI will fundamentally disrupt legacy security solutions.
Success in modern security demands specialized tools. Companies need security-specific models. These models must integrate into real security workflows. Building such models requires unique components. Specialized data is paramount. Domain-specific evaluation frameworks are essential. Deep expertise in post-training techniques is also crucial. Depthfirst positions itself as a leader in this specialized capability.
The platform is already making a tangible impact. It is utilized by a diverse clientele. This includes Fortune 500 corporations. High-growth technology firms also leverage its power. Companies like ClickUp, Supabase, incident.io, Moveworks, and Lovable are among its users. These early adopters validate its real-world utility.
Depthfirst reports impressive engagement metrics. Approximately 80 percent of its recommended fixes are accepted. Developers merge these fixes into their codebases. This high acceptance rate highlights the platform's accuracy. It also reflects its seamless integration into development pipelines. The solutions are practical and actionable.
The future of software security rests on advanced AI. Depthfirst is at the forefront of this revolution. Its continuous innovation drives new capabilities. The company is committed to securing digital infrastructure. Its domain-specific AI models promise robust protection. This approach changes how modern systems are safeguarded. Expect further advancements in AI-native security from Depthfirst. The industry watches its trajectory closely."