AI may write code, but skill secures it.

Our enterprise secure coding platform builds the skills needed to secure both human and AI-generated code without slowing delivery.

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Chat interface with AI assistant 'Obi' discussing AI caption generation for cafe photos and code file changes.
From the #1 secure coding training company
The skills gap

AI accelerates code. AI security skills must keep pace.

AI coding assistants can generate production-ready code in seconds. But speed does not equal security. AI security training helps developers identify vulnerabilities in AI-generated code, prevent prompt injection, and apply secure coding practices across modern AI workflows.

Developers are now expected to:
Identify vulnerabilities in AI-generated code
Recognize insecure patterns introduced by LLMs
Apply secure coding standards across languages
Prevent new risks like prompt injection

Nearly 45% of AI-generated code contains known security vulnerabilities. Securing AI-generated code starts with developer capability to identify and fix risks before code reaches production.

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Product overview

Build developer capability for secure AI development

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.

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Product overview

The behavior engine of AI software governance

Secure Code Warrior Learning strengthens the skills behind every commit. While Trust Agent governs AI-assisted development at commit, Learning builds measurable secure coding capability across engineering teams — helping developers review and secure both human-written and AI-generated code.

预约演示

Assess

Benchmark developer secure coding proficiency

Assign

Deliver targeted, risk-based learning paths

Practice

Reinforce skills through hands-on coding labs

Validate

Measure improvement with SCW Trust Score®

Improve

Reduce recurring vulnerabilities over time

Core capabilities

Comprehensive AI security training for modern development

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Modern AI frameworks and environments

Modern AI frameworks and environments

Secure real-world AI stacks

Developers train across production AI technologies including Python (LangChain, MCP), Terraform (AWS Bedrock), and modern backend frameworks powering AI applications.

LLM missions and coding labs

LLM missions and coding labs

Apply AI security skills in real scenarios

Developers build capability through immersive Missions and hands-on Coding Labs that simulate real-world AI security scenarios and vulnerability exploitation patterns.

AI security concepts and design patterns

AI security concepts and design patterns

Build foundational AI security knowledge

Developers learn how to securely use AI through topics like AI risk and security, threat modeling with AI, OWASP Top 10 for LLMs, and AI agent protocols (MCP, A2A, ACP).

Outcomes & Impact

Reduce AI-driven risk at the source of code creation through developer training

Secure Code Warrior delivers AI security training that builds developer capability to identify and prevent vulnerabilities in both human-written and AI-generated code. Through hands-on learning and real-world AI security scenarios, organizations reduce recurring vulnerabilities, strengthen secure coding behavior, and demonstrate measurable improvement across modern development workflows.

*即将推出
Reduction in introduced vulnerabilities
53%+
Faster mean
time to remediate
3x+
AI/LLM learning
activities
1k+
Comprehensive secure coding languages covered
75+
Who it’s for

Security, engineering, and learning leaders responsible for secure development

Support secure AI development with role-specific capabilities tailored to your organization’s needs.

For security & AI governance leaders

Demonstrate measurable developer competency and reduce software risk across human and AI-assisted development.

For learning & development leaders

Deliver structured, measurable secure coding programs that drive adoption, prove impact, and align to enterprise compliance requirements.

For engineering leaders

Enable developers to write resilient, secure code while maintaining velocity and reducing rework.

For AppSec leaders

Scale developer-driven security and reduce introduced vulnerabilities without increasing review headcount.

Secure AI-generated code starts with trained developers

Strengthen secure coding skills, reduce introduced vulnerabilities, and build measurable developer trust across your organization.

预约演示
trust score
AI security training for developers FAQs

Secure AI-assisted development starts with developer capability

Learn how Secure Code Warrior helps teams adopt AI safely, reduce risk, and build measurable developer capability.

开发人员如何学习保护 AI 生成的代码?

开发人员通过在模拟的 AI 工作流程中进行动手操作的 AI 安全培训,学习保护 AI 生成的代码。

Secure Code Warrior 提供 AI 任务、编码实验室 (Coding Labs) 和交互式挑战,教导开发人员如何验证 AI 输出、发现不安全模式,并与 AI 代理、MCP(模型上下文协议)和 LLM 进行安全交互。

AI 生成的代码会带来哪些安全风险?

AI 生成的代码可能会引入漏洞,例如提示注入 (prompt injection)、过度授权 (excessive agency)、敏感数据暴露以及不安全的输出处理。自适应学习 (Adaptive Learning) 通过教导开发人员验证和保护 AI 生成的结果来应对这些风险。

AI 安全培训与传统的安全编码培训有何不同?

Secure Code Warrior 提供交互式 AI 安全培训,重点关注开发人员如何与 AI 系统交互,而不仅仅是他们如何编写代码。该培训涵盖安全的提示工程 (prompt engineering)、评估 AI 响应以及企业 AI 治理(包括符合策略的 AI 使用)。

Secure Code Warrior 如何支持 AI 安全培训?

Secure Code Warrior 通过 AI 挑战、任务、编码实验室 (Coding Labs) 和 Quests 中的实践学习来培养开发人员的能力。

开发人员在使用他们实际使用的语言、框架和 AI 环境中,安全地利用 AI 进行练习——从验证 AI 生成的代码到保护代理工作流 (agentic workflows)。

涵盖哪些 AI 技术和框架?

Secure Code Warrior 提供跨越现代 AI 技术和框架的学习,包括:

  • AI 代理和协议 (MCP, A2A, ACP)
  • 大型语言模型 (OpenAI, Anthropic, Google)
  • AI API 集成与数据保护
  • AI 交互和验证框架
组织如何管理 AI 辅助开发并降低风险?

组织通过获取 AI 使用的可见性、在开发工作流程中应用治理策略,并为开发人员配备 AI 安全技能来管理 AI 辅助开发。这种统一的方法确保 AI 可以在不牺牲安全性的情况下加速软件开发。

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支持详细信息以吸引可能处于困境的客户。

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