
Your First 30 Days of AI Code Governance (A Practical Rollout Plan)
A phased rollout plan for introducing AI code security without breaking developer velocity. Observe, warn, gate — in 30 days.
Analysis and field notes from the Cyblox team.

A phased rollout plan for introducing AI code security without breaking developer velocity. Observe, warn, gate — in 30 days.

How to deploy AI code security controls in regulated, air-gapped, or hybrid environments without losing pre-merge governance or review evidence.

How to measure the security posture of AI-assisted development without vanity metrics. A KPI framework for AppSec, engineering, and compliance leaders.

For regulated organizations, proving that AI-generated code was reviewed is a governance requirement. Here is the lightweight evidence model that works.

Common security mistakes in AI-generated code that compile, test, and still ship risk. A pattern catalog for Node/TS and Python reviewers.

AI-generated code introduces provenance ambiguity. Here is how to manage licensing, attribution, and policy alignment before merge.

A practical framework for governing AI-assisted code without creating bottlenecks: what to block, what to warn, and what still needs human judgment.

AI-assisted development quietly introduces new dependencies, version bumps, and build hooks. Here is how to govern dependency changes before they reach production.

If you cannot measure outcomes and explain enforcement decisions, bot defense becomes a permanent tuning exercise. Here is the KPI model that holds up.