Enable secure AI adoption across your organization

AI literacy training for the workforce that builds with AI, not just the developers who deploy it.

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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?

在大多数组织中,这些答案依赖于假设,而不是数据。这种差距以人工智能的速度创造了曝光率。信任代理:人工智能提供了回答这些问题所需的可见性、风险关联和治理控制

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:

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The AI tools they use every day

The workflows they automate

The data they share

The access they grant

核心能力

提交时的实时 AI 治理

预订演示
委员会级别的风险关联

委员会级别的风险关联

将 AI 开发与可衡量的风险联系起来

关联 AI 使用信号、提交元数据、开发者信任分数® 和漏洞基准测试,以在代码投入生产之前识别风险增加的情况。

基于风险的自适应学习

基于风险的自适应学习

缩小提交背后的技能差距

根据提交风险、AI 影响力和开发者信任分数® 触发有针对性的学习,从而减少反复出现的漏洞。

Limiting risks

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

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.

See it in action

Built for business users, not developers or data scientists

Real business scenarios, no code, no technical background required.

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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.

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这是给谁的

专为 AI 治理团队打造

预订演示

专为 AI 治理领导者而设计

借助模型可追溯性、基于基准的政策执行和风险可见性,在承诺时实施 AI 治理。

对于首席信息安全官

展示对 AI 辅助开发的可衡量治理,并在代码投入生产之前降低企业软件风险。

适用于 AppSec 领导者

在不增加审查人员的情况下,优先考虑高风险提交并减少反复出现的漏洞。

专为工程领导者而设

采用带护栏的 AI 辅助开发,保护速度,同时减少返工。

AI 软件治理

人工智能驱动开发的控制平面

让人工智能驱动的开发变得可见、安全和有弹性,在生产之前防止漏洞,这样团队就可以充满信心地快速行动。

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.

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explore AI Adoption Model

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.

Chat interface with AI assistant 'Obi' discussing AI caption generation for cafe photos and code file changes.
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Explore AI learning

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.

AI Usage Visibility
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Explore trust agent

成为第一个在承诺时管理 AI 辅助开发的人

了解 Trust Agent:AI 如何在 AI 辅助开发中提供可见性、关联性和策略控制。

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trust score
信任代理:AI 常见问题解答

AI 软件治理和委员会级控制

了解 Trust Agent:AI 如何让人工智能辅助开发在您的安全 SDLC 中变得可见、可衡量和可执行。

What is Citizen AI?

Citizen AI is Secure Code Warrior’s AI literacy training program for business users. It builds the judgment, risk awareness, and responsible habits a workforce needs to use AI safely and confidently at work, delivered through the Secure Code Warrior learning platform and assignable through Quests and Learn.

What is AI literacy training?

AI literacy training teaches employees how AI tools work, where they carry risk, and how to use them safely and effectively at work. Unlike technical AI training for developers or data scientists, AI literacy training builds the judgment and habits business users need every day: knowing what data is safe to share, how to validate AI outputs, and how to grant AI tools access responsibly.

Who is Citizen AI for?

Citizen AI is built for the people who use AI at work every day but were never trained to do it securely — employees across marketing, finance, HR, operations, sales, and customer-facing teams. It is not developer training, and no technical background is required.

What does the Automating with AI collection cover?

Automating with AI, the first Citizen AI learning collection, delivers more than 2 hours of learning across four topics: building your first AI automation, troubleshooting AI workflows when things break, recognizing common AI risks and limiting them, and understanding identity, credentials, and access for AI agents. The collection combines short videos, practical guidelines, and an interactive walkthrough.

How is Citizen AI different from generic AI awareness training?

Generic AI awareness training teaches theory and terminology. Citizen AI focuses on behavior — the actual decisions employees face when building automations, sharing data with AI tools, validating outputs, and granting access. The goal is changed habits, not completed slideshows.

How is Citizen AI different from Secure Code Warrior’s developer training?

Secure Code Warrior’s developer training builds secure coding skills for the people writing and reviewing code. Citizen AI extends AI readiness to everyone else in the organization. Together, they cover AI risk across the whole business — from the SDLC to the teams adopting AI on their own.

How does Citizen AI support AI governance?

Most AI governance programs cover policies, platforms, and technical controls; Citizen AI covers the people. Completion and assessment reporting provides evidence of responsible AI adoption for leadership, auditors, and regulators, while practical education reduces the human risk those controls cannot reach.

Does the EU AI Act require AI literacy training?

Yes. Article 4 of the EU AI Act, in effect since February 2025, requires organizations that provide or use AI systems to ensure their staff have a sufficient level of AI literacy. Citizen AI supports that obligation with a documented training program, completion tracking, and assessment records you can produce on request.

What languages is Citizen AI available in?

Citizen AI is available globally in all 9 supported spoken languages: English (US & UK), Spanish, French, German, Korean, Chinese (Simplified & Traditional), and Japanese.

Do we need to be an existing Secure Code Warrior customer to use Citizen AI?

Citizen AI is a standalone program delivered through the Secure Code Warrior platform. Existing customers can add it alongside current learning programs; new customers can start with Citizen AI on its own. Contact Secure Code Warrior to discuss the right fit.

How does Citizen AI relate to the SCW AI Adoption Model?

The SCW AI Adoption Model maps how AI use in software development evolves across eight stages and three phases, from minimal AI assistance to fully autonomous agents. Citizen AI complements the model by extending AI readiness beyond developers, preparing business users for the same organization-wide AI adoption the model describes.

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