适用于 AI 开发和 Vibe 编码者的安全编码

充分利用 AI 驱动的编码带来的生产力提升和创新，同时不会使隐藏错误、安全漏洞和技术债务的风险呈指数级增长。

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Upskill on Secure Development in the New World of AI

Secure Code Warrior supports enterprises transitioning into AI-assisted development practices with highly relevant, upskilling initiatives designed to address gaps ranging from a lack of awareness in working with AI and LLMs, to over confidence in AI-generated code being secure, and the emergence of new vulnerabilities associated with AI coding.

Get best-in-class content covering AI/LLM topics for a variety of roles across the SDLC to mitigate risk. From devs and QA to architects and product managers, we’ve got you covered.

Drive Awareness Around Development with AI/LLM

From Prompt Engineering and Data Model Poisoning to Sensitive Information Disclosure and Model Theft, we help developers understand the shortcomings of AI generated code, reinforcing how critical it is to ensure developers maintain focus on data security, model integrity, and ethical considerations.

Stay Up-to-Date When Working with LLMs

Get in-depth details on the OWASP Top 10 for LLM Applications and more. With over 700+ AI, LLM, and MCP conceptual and interactive learning activities, including AI Challenges, Guidelines, Coding Labs, Videos, Walkthroughs, Missions, Quests, and Course Templates – our platform equips developers to stay ahead of the risks introduced by AI coding.

Activities Simulating “Coding with AI Assistants”

Hands-on activities that simulate a pull request. The developer is tasked to validate changes in a simulated environment by accepting or rejecting suggestions to existing code that could be coming from an AI solution or from a coworker leveraging AI coding assistance. This interactive experience helps demonstrate applied knowledge in practice and emphasizes the importance of critical thinking in leveraging AI coding assistance.

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Secure AI coding

Next-Generation Secure Software Development

Mitigate Risk in a World of AI + Developers

With more lines of code being produced faster with less scrutiny, the risk of hidden bugs, security vulnerabilities, and technical debt grows exponentially. This shift makes code review, testing, and secure coding practices more critical than ever, ensuring that speed doesn’t come at the cost of reliability and security. Upskilling developers is the first step to getting better outcomes in an environment where tools like Github Copilot, Cursor AI, Amazon Q developer and others are being utilized and underscores the need for continued emphasis on secure code education.

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Manage AI Risk with Observability and Governance

Skills initiatives are just the first step to ensuring you are addressing additional risks introduced by AI-assisted coding. SCW Trust Agent™ gives you visibility into the developers working with your code base, and insights into their security skills. You can then configure polices for code repositories to help improve your security posture through proactive governance.

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Measurable Impact Beyond Compliance

Organizations who adopt a proactive approach to secure code best practices that go beyond compliance, see tangible business results. Because the most cost effective way to address vulnerabilities is to prevent them from the start. SCW Trust Score™ provides organizations with a way to measure and benchmark the progress of developers’ security skills over time which are particularly important to track in reference to early adoption of AI-driven coding environments.

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Guide Safer AI Code Generation with Free Security Rules

AI coding tools are fast, but not always secure. Secure Code Warrior’s free AI Security Rules offer simple, lightweight guardrails to help tools like Copilot and Cursor generate safer code by default. Easy to adopt, extend, and drop into your config, no SCW account needed.

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常见问题解答

有关 AI 生成编码的重要亮点

人工智能编码如何影响开发人员的批判性思维？

人工智能辅助开发极大地提高了编码速度，导致书面代码量激增。开发人员现在可以在几秒钟内生成整个函数、模块甚至应用程序，从而缩短了总体开发时间，但是这种生产力的提高带来了新的挑战。

研究表明人们将人工智能生成的答案视为理所当然，从本质上讲，为了得出正确答案，人们消除了任何批判性思维过程。

什么是 “氛围编码”？

AI is enabling a more fluid and intuitive workflow recently referred to as “vibe coding.” This is where developers focus on high-level intent rather than syntax.

随着人工智能的使用，软件开发发生了怎样的变化？

现代软件开发人员越来越多地利用人工智能驱动的编程助手，例如Cursor AI、Windsurf、Amazon Q Developer和GitHub Copilot，来提高生产力，减少重复任务并提高代码质量。这些工具充当智能配对程序员，提供代码建议和错误修复。软件创作变得更具活力、更具创造性，开发人员的技能也必须相应地发展。

Resource Hub

Additional Secure Code Warrior Resources on AI & LLMs

Blog

July 15, 2026

Citizen AI by Secure Code Warrior: Build an AI-Ready Workforce

Secure Code Warrior's AI literacy program for non-developer employees.

Conference

Aug 1, 2026

Black Hat USA 26

Secure Code Warrior is exhibiting at Black Hat USA 2026 in Las Vegas. CEO Pieter Danhieux, Chief Customer Officer Fatemah Beydoun, and Chief Product and Technology Officer Alex Bullen will be on-site — reach out to book a meeting.

Case Study

Jan 6, 2026

Kamer van Koophandel Sets the Standard for Developer-Driven Security at Scale

Kamer van Koophandel shares how it embedded secure coding into everyday development through role-based certifications, Trust Score benchmarking, and a culture of shared security ownership.

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Jun 23, 2026

Understand how AI is transforming software development—and how security must evolve with it.

From AI autocomplete to autonomous agents—explore how software development is evolving and what it means for security, governance, and your team.