See it in action
Built for business users, not developers or data scientists
Real business scenarios, no code, no technical background required.
Enable secure AI adoption across your organization
AI literacy training for the workforce that builds with AI, not just the developers who deploy it.
Provenant de la société de formation au codage sécurisé #1
The readiness gap
AI risk doesn’t stop at the engineering team
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.
Four questions security leaders can’t answer today:
Who outside engineering is building AI automations right now?
What data are employees sharing with AI tools?
What systems can those AI agents access — and who granted the permissions?
If an auditor asked tomorrow, could you prove responsible AI adoption?
Dans la plupart des organisations, ces réponses reposent sur des hypothèses, et non sur des données. Cet écart crée une exposition à la vitesse de l'IA. Agent de confiance : l'IA fournit la visibilité, la corrélation des risques et les contrôles de gouvernance nécessaires pour répondre à ces questions
What is Citizen AI?
Practical AI literacy for the people who actually use AI at work
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:
Fonctionnalités de base
Gouvernance de l'IA en temps réel chez Commit
Corrélation des risques au niveau des engagements
Associez le développement de l'IA à un risque mesurable
Corrélez les signaux d'utilisation de l'IA, les métadonnées de validation, le Trust Score® des développeurs et les benchmarks de vulnérabilité pour identifier une exposition élevée avant que le code n'entre en production.
Apprentissage adaptatif basé sur les
Combler les lacunes en matière de compétences qui sous-tendent l'engagement
Déclenchez un apprentissage ciblé en fonction du risque de validation, de l'influence de l'IA et du Trust Score® des développeurs, afin de réduire les vulnérabilités récurrentes.
Limiting risks
Identify common AI risks and the practical habits that help reduce them
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.
Identity, Credentials, and Access
Learn how AI agents use permissions and why access management matters
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.
Why Citizen AI?
Change how employees use AI, not just what they know about it
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.
Who it’s for
Purpose-built for the teams accountable for AI adoption
Gouvernance des logiciels d'IA
Le plan de contrôle pour un développement piloté par l'IA
Rendez le développement piloté par l'IA visible, sécurisé et résilient en prévenant les vulnérabilités avant la production afin que les équipes puissent agir rapidement en toute confiance.
SCW AI Adoption ModelTM
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.
AI security learning
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.
AI usage monitoring
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.
Turn software risk into developer improvement
See how Adaptive Learning automatically connects vulnerability data and AI-generated code risk to targeted developer learning — at any scale.
Adaptive Learning FAQ
Reduce recurring vulnerabilities through targeted developer improvement
Learn how Adaptive Learning automatically connects vulnerability data to targeted developer improvement — reducing recurring vulnerabilities at the source.