For the people who build with AI everyday, not just the developers who deploy it.
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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:
Automating with AI helps business users safely adopt AI-powered workflows, with knowledge they can apply the same day. The collection combines short videos, practical guidelines, and interactive walkthroughs — all built for people outside engineering.
Introduces users to what changes use of AI moves beyond talking with a chatbot to using agents that act on their behalf. It covers the anatomy of a connected AI setup and practical checks for deciding what workflows are and are not safe to automate.
Teaches automation debugging via AI chat in an accessible, practical way, helping business users avoid the frustrations of the “AI bug doom loop” that can make a broken automation harder to recover and lead users toward riskier “just fix it” tactics.
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.
Citizen AI extends a broader Secure Code Warrior investment in secure AI adoption, spanning the developers writing AI-assisted code, the platform governing it, and now the business teams adopting AI on their own. The teams that succeed with AI will be the ones that invest in both capability and accountability. This is how you build both.
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.
See how Adaptive Learning automatically connects vulnerability data and AI-generated code risk to targeted developer learning — at any scale.
