Oplane Raises €4.5M to Fix the Architectural Blind Spots in AI-Assisted Coding

What Oplane Does: Architecture-Level Threat Modeling

Oplane's platform performs automated, continuous threat modeling, differentiating itself by operating at the architectural layer rather than just scanning lines of code . According to the company, code-level static analysis tools structurally cannot identify risks that emerge from how components connect, communicate, and handle data—a problem that grows exponentially when AI writes most of the code.

Its core workflow involves several steps:

• Real-time asset graphs: Oplane automatically maps a codebase's entire architecture into real-time asset graphs, creating a live picture of a system's components and their relationships .
• Risk identification: The platform surfaces system-level security requirements and flags architectural risks—such as insecure service-to-service communication or missing trust boundaries—that are invisible to linters and SAST tools .
• Contextual remediation: Instead of generating a static PDF report, Oplane delivers remediation recommendations directly within existing developer workflows. It reviews every pull request against the live threat model and surfaces inline findings with one-click fixes .

This approach tries to keep pace with the velocity of AI-assisted development. Where periodic manual threat modeling reviews can take weeks, Oplane aims to make security a continuous, automated process that runs with every commit .

Integrations Within the AI Coding Loop

Rather than existing as a separate dashboard, Oplane embeds itself inside the tools developers already use. It integrates with Claude Code, Cursor, and GitHub Copilot via the Model Context Protocol (MCP), meaning architectural security checks are triggered automatically as AI agents write and refactor code .

The result is a security review process that requires no additional context-switching for developers. A pull request generated by Copilot, for example, can be evaluated for architectural risk in the same workflow that handles code review and testing.

Founders and Origin

Oplane was founded in 2022 by Emil Kvarnhammar (CEO), Oscar Andersson (CTO), and Anders Söderling (CPO), and is headquartered in Malmö, Sweden . The company reports that its platform is already running in production at customers including Miro and Tandem Health, giving it early validation in environments where AI tools are in active use by engineering teams .