IriusRisk
Multi-agent pipeline for generating secure, tested code
The problem this solves
AI-generated code that ships without security review or test coverage
IriusRisk Labs designs multi-agent AI development pipelines that simulate the roles of a traditional SDLC — product manager, threat modeller, architect, test designer, developers, and verifier — to generate secure, functional code with reasonable test coverage. The pipeline produces reviewable artefacts (threat models, TDD test suites, implementation, verification reports) that an engineer then integrates into an existing codebase via an in-IDE agent.
Technique
A verification agent gates re-runs against the threat model, not just tests
“If we haven't reduced the risk sufficiently or haven't completed the items on our task list within this feature set, design, build, test loop, we can choose to run the process again.”
Translated from Danish
— Byg en AI-udviklingspipeline - James Rabe
Technique
Generate failing TDD tests first, then build code to pass them
“Building TDD tests (It will fail at first)”
Translated from Danish
— Byg en AI-udviklingspipeline - James Rabe
Technique
A dedicated threat-modelling agent runs before any code is written
“Delivers an AI-based threat model to take some of the effort off the security engineering team.”
Translated from Danish
— Byg en AI-udviklingspipeline - James Rabe
AI developmentThreat modelingSecure codingDevSecOpsTest-driven developmentAI agents
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