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 사용 신호, 커밋 메타데이터, 개발자 Trust Score® 및 취약성 벤치마크의 상관 관계를 분석하여 코드가 프로덕션에 도달하기 전에 노출 증가를 식별합니다.

커밋 위험, AI 영향력, 개발자 Trust Score® 를 기반으로 표적 학습을 트리거하여 반복되는 취약성을 줄입니다.

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 기반 개발을 가시적이고 안전하며 탄력적으로 만들어 제작 전에 취약점을 방지하여 팀이 확신을 갖고 빠르게 움직일 수 있도록 하세요.
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: AI가 AI 지원 개발 전반에서 가시성, 상관관계 및 정책 제어를 어떻게 제공하는지 알아보십시오.

Trust Agent: AI를 통해 보안 SDLC 전반에서 AI 지원 개발을 가시적이고 측정 가능하며 시행할 수 있는 방법을 알아보세요.