AI CODE GOVERNANCE
AI Code Quality & Governance
One acceptance standard for AI-generated code
As AI writes more code, its origin is no longer only human. This solution verifies human- and AI-generated code against the same quality gates and security rules—whether code comes from a developer, a coding agent or an LLM, it must pass the same Clean Code bar, so AI accelerates delivery without sacrificing quality or trust.
FEATURES
What's inside
Unified quality gates
Human and AI code share one Quality Gate; standards don't drop by origin.
AI code verification
SonarSweep and Agentic Analysis inspect LLM and agent output.
Security consistency
Apply the same security rules and vuln detection to AI code as human code.
End-to-end access
Inject standards into AI tools and agent workflows via MCP.
Key capabilities
- Unified gates for human and AI code
- Verification of LLM and agent output
- Consistent security rules and vuln detection
- Injected into AI workflows via MCP
Use cases
Controlled AI acceleration
Hold the quality and security line under heavy AI adoption.
Origin-neutral acceptance
Accept code by the same standard whether human or AI wrote it.
Auditable governance
Capture traceable evidence of AI-generated code quality.
Want this in production?
Talk to Xdata for selection advice, licensing and end-to-end implementation.