Built for business users, not developers or data scientists
Real business scenarios, no code, no technical background required.
AI literacy training for the workforce that builds with AI, not just the developers who deploy it.
















































AI adoption is spreading faster than AI readiness. Employees across marketing, finance, HR, and operations are already building automations, sharing data with AI tools, and acting on AI outputs. They’re capable. They’re not prepared. Most AI governance programs cover policies, platforms, and technical controls, and the result is a class of risk those controls can’t see.

Citizen AI is Secure Code Warrior’s first learning program built for business users — practical AI literacy from the platform that’s trained the world’s developers for more than a decade. It skips the AI theory and starts with the situations employees are already in. Learning is designed around:

AI の使用シグナル、コミットメタデータ、開発者の Trust Score®、脆弱性ベンチマークを相互に関連付け、コードが本番環境に移行する前にリスクが高まっていることを特定します。

コミットリスク、AI の影響、開発者の Trust Score® に基づいて対象を絞った学習を開始し、繰り返し発生する脆弱性を減らします。

Introduces 3 categories of risk that apply even when an AI automation is working correctly, including: tools, connections and third-party skills; indirect prompt injection risks; and autonomous actions the AI can take on your behalf. Each category is paired with a set of practical habits that limit potential risk and damage.

Explains how AI acts through the user’s account and what that means for access, audit logs, and accountability. It introduces practical habits aligned with the principles of least privilege, and builds awareness of delegated authorization and ambient authority issues with AI agents in workflow automation contexts.
Real business scenarios, no code, no technical background required.

Most AI awareness training teaches terminology and hopes behavior follows. Citizen AI works the other way: it builds practical judgment and responsible habits — the kind that change how employees actually use AI, not just what they know about it.
AI 主導の開発を可視化、安全、回復力を持たせ、本番稼働前に脆弱性を防ぎ、チームが自信を持って迅速に行動できるようにします。
Explore the eight stages of AI adoption and the security capabilities required to build secure software at each stage — with 200+ security concepts and vulnerability categories mapped across the journey.

Secure Code Warrior Learning provides AI security training that builds the skills behind every commit. Developers learn to secure AI-generated code through hands-on practice across real-world AI workflows, reducing risk at the source.

Trust Agent turns visibility into actionable insight. It correlates commit metadata, AI model usage, MCP activity, and governance thresholds to highlight risk at commit — without slowing development velocity.

Trust Agent: AI が AI 支援開発全体でどのように可視化、相関関係、ポリシー制御を実現するかをご覧ください。

Trust Agent: AI が AI を活用した開発を、安全な SDLC 全体でどのように可視化し、測定可能にし、実施可能にするかをご覧ください。