AI ドゥンとバイブコダクトーサク

隠れ家バグ、ふしぎ性、ピーキンキンキンキンキンキンキンキンキンキンス、AIちゃんとめざめめめめめめめっかつ。

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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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よくある質問

AI-進化

AIコーディングは開発者の批判的思考にどのような影響を与えましたか？

AI支援開発はコーディングの速度を劇的に向上させ、記述されるコードの量が急増します。開発者は現在、関数全体、モジュール、さらにはアプリケーション全体を数秒で生成できるため、全体的な開発時間が短縮されますが、この生産性の向上により新たな課題が生じます。

リサーチ人々がAIが生成した答えを当たり前のことと考えていることを示しており、本質的に正しい答えにたどり着くための批判的思考プロセスを排除しています。

「バイブコーディング」とは何ですか?

AIは、最近「バイブコーディング」と呼ばれる、より流動的で直感的なワークフローを可能にしています。このような状況で、開発者は構文よりも大まかな意図に重点を置きます。

AIの使用によってソフトウェア開発はどのように変化しましたか？

現代のソフトウェア開発者は、Cursor AI、Windsurf、Amazon Q Developer、GitHub CopilotなどのAIを活用したコーディングアシスタントを活用して、生産性を高め、反復作業を減らし、コード品質を向上させることが増えています。これらのツールはインテリジェントなペアプログラマーの役割を果たし、コードの提案やバグ修正を行います。ソフトウェア制作はますますダイナミックで創造的になり、開発者のスキルもそれに応じて進化しなければなりません。

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.