Insights from experts shaping secure development
Access expert content on secure coding, AI governance, and software risk management.

Gartner Security & Risk Management Summit 2026
Excited to sponsor the Gartner Security & Risk Management Summit in London, September 22–24, 2026! Come connect with our team to see how Secure Code Warrior is helping organizations govern AI-generated code and build lasting security skills across the SDLC. See you there!

SCW 統合:マイクロラーニングによる平均修復時間の短縮
堅牢な技術スタックの重要性は誰もが知っています。コード内の脆弱性の発見と修正に関しては、平均修復時間を短縮し、信頼できる堅牢なソリューションを使用することが、Secure Code Warriorの統合の目標です。マイクロラーニングの瞬間を開発者のワークフローに統合することが、より良い学習と迅速な修復の鍵です。

繰り返し使える安全なコーディングスキルで左にシフトし、コンプライアンスを達成
最近のほとんどすべての開発者チームは、企業が業界の枠組みや政府規制の範囲内にとどまっていることを確認するために使用される最初の認定プロセスの一部であるか、年次要件またはレビューの一部であるかにかかわらず、何らかの形のコンプライアンストレーニングを採用しています。これは重要なステップです。なぜなら、組織が基本的なコンプライアンス要件を満たせなければ、その従業員は現実的に職務を遂行できないからです。

不適切なコーディングパターンは大きなセキュリティ問題につながる可能性があります... では、なぜ私たちはそれらを奨励するのでしょうか?
開発者は、脆弱性の仕組み、なぜ危険なのか、どのようなパターンが脆弱性を引き起こすのか、どのような設計やコーディングパターンが脆弱性を修正するのかを理解していなければ、脆弱性の軽減にプラスの影響を与えることはできません。足場型のアプローチにより、知識を重ねることで、安全にコーディングすることの意味の全体像を把握し、コードベースを守り、セキュリティを意識した開発者として立ち上がることができます。

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.
Going for Gold: Soaring Secure Code Standards at Paysafe
See how Paysafe's partnership with Secure Code Warrior led to a 45% boost in developer productivity and a major reduction in code vulnerabilities.

DigitalOcean Decreases Security Debt with Secure Code Warrior
DigitalOcean's use of Secure Code Warrior training has significantly reduced security debt, allowing teams to focus more on innovation and productivity. The improved security has strengthened their product quality and competitive edge. Looking ahead, the SCW Trust Score will help them further enhance security practices and continue driving innovation.

ITWire: Agentic AI Era Demands Overhaul of Governance Frameworks
The emergence of agentic AI marks a structural shift in software development, introducing systems that not only accelerate production cycles but also perform autonomous reasoning and action beyond direct human control.

SecurityWeek: How to Conduct a Successful Audit of AI-Driven Software Development
As AI-generated code becomes commonplace, CISOs need new audit strategies to measure developer practices, govern AI tool usage, and identify software risks before they reach production.

SD Times: Platform Engineering & Developer Experience: Making Engineers Faster Without Making Them Reckless: SD Times 100
This category has taken on new urgency in 2026 for a reason that’s specific to this moment: AI coding tools and agents are dramatically increasing how much code gets written and how often it needs to be deployed, tested, and provisioned for. Platform engineering is the layer that determines whether that increased velocity translates into shipped value or into chaos.

AI Coding Assistants: A Guide to Security-Safe Navigation for the Next Generation of Developers
Large language models deliver irresistible advantages in speed and productivity, but they also introduce undeniable risks to the enterprise. Traditional security guardrails aren’t enough to control the deluge. Developers require precise, verified security skills to identify and prevent security flaws at the outset of the software development lifecycle.
Gaining Buy-In with Developers
Security training might feel like just another hurdle in a developer's workflow, but this one pager highlights what's in it for them.

Developer Risk Management Overview
Developer Risk Management is a holistic and proactive approach to application security, focused on code contributors rather than within the bits and bytes of the application layer itself.


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