Insights from experts shaping secure development

安全でないコードとその後の技術的負債に対処するためのコストは、今日のテクノロジーが直面している最大の障害の1つです。スケーラブルで安全なコードトレーニングプログラムを実装することで、不適切なコーディングパターンに対処し、ソフトウェア開発サイクルの早い段階で脆弱性を検出することで、技術的負債を減らすのにどのように役立つかをご覧ください。

何がセキュアコーディング行為を構成するのかという認識については、議論の余地があります。Evans Dataと共同で行った最近の調査によると、この感情は白黒で明らかになっています。開発者主導型セキュリティ2022の現状調査では、1,200人のアクティブな開発者の主要な洞察と経験を掘り下げ、セキュリティ分野における彼らの態度と課題を明らかにしています。

Learn how Coding Labs is like a personal trainer for developers- utilizing interactive, hands-on modules and intuitive feedback within a convenient in-browser IDE to help developers go from learning to doing faster than ever before.

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.

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'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.

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.

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.

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.

Security maturity in development teams should be a continuous cycle of improvement with realistic goals along the way. As development teams increase their security maturity, they reduce the amount of rework and minimize risk, while also allowing automation to help create efficiency in the SDLC.