Depthfirst Raises $80M to Push Domain-Specific AI Security

Depthfirst has raised $80 million in Series B funding as it looks to expand its AI-native security platform and train models tailored to specific security domains. The round, led by Meritech Capital, comes less than three months after its Series A, bringing total funding to $120 million. The pace of funding reflects how quickly investors are backing platforms designed for AI-driven security environments.

The company is building around a simple idea: security systems need to operate at the same speed as modern software development and AI-driven attacks. As organizations release code and infrastructure changes more frequently, attackers are also scaling their efforts using AI. That creates a gap for tools that can continuously analyze and secure systems without slowing development cycles. Depthfirst is positioning its platform to close that gap by working directly within developer workflows.

Its General Security Intelligence platform uses AI agents to understand code, infrastructure, and business logic together, rather than scanning each layer separately. This kind of context-aware analysis helps surface more complex vulnerabilities and prioritizes what actually needs fixing. The platform also delivers fixes that developers can apply directly, which matters in environments where remediation speed is as important as detection.

Alongside the funding, the company introduced its first in-house model, dfs-mini1, focused initially on smart contract security. The broader strategy is clear: train models for specific security tasks and expand from there. For enterprises and security providers, this points to a shift toward more specialized AI in security operations, where models are tuned for particular environments and can deliver faster, more actionable results.