Our enterprise secure coding platform builds the skills needed to secure both human and AI-generated code without slowing delivery.
人工智能编码助手能在几秒内生成可投入生产使用的代码。但速度并不等于安全性。
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.
Secure Code Warrior 减少重复性漏洞，强化安全编码习惯，并展现可量化的开发者进步。这些成果证明了企业级安全编码培训在大规模现代开发环境中的可衡量成效。
Give developers the skills to identify, prevent, and fix vulnerabilities across human and AI-generated code.
根据开发者行为、提交风险信号或基准差距自动分配针对性培训。
验证并保障人工智能生成的代码安全性，识别不安全的模式，并在人工智能辅助的工作流程中应用安全标准。
Developers solve real Vulnerabilities through interactive exercises across 75+ languages and frameworks.
Assess developer proficiency, benchmark against peers, and track measurable secure coding progress with SCW Trust Score®.
将培训内容与OWASP十大安全风险、NIST、PCI DSS、CRA及NIS2标准对齐，并提供审计就绪报告。
Secure Code Warrior 企业级安全编码培训平台，以实践实验室、结构化学习路径、客观评估和游戏化竞赛为核心。每种培训方法都旨在强化开发者的实际行为，并在代码进入生产环境前显著降低引入的漏洞风险。
Quests are the primary way organizations deliver secure coding training in Secure Code Warrior. They combine labs, challenges, and assessments into structured, role-based, and risk-aligned programs designed for enterprise scale. Quests guide developers toward measurable secure coding competency while aligning training to real-world vulnerability data.
Traditional secure coding courses remain available for organizations that prefer course-based assignment models. Most enterprise programs are now transitioning to Quests for greater flexibility, visibility, and alignment with AI-assisted development.
These platform capabilities reinforce learning in different ways to drive behavior change and measurable results:
展示可量化的开发者能力，降低人类与人工智能辅助开发中的软件风险。
强化安全编码技能，减少引入的漏洞，并在整个组织中建立可衡量的开发者信任。
了解Secure Code Warrior 开发人员的安全技能、减少漏洞并实现可量化的风险降低。