Insights from experts shaping secure development

アジャイルラーニングは、継続的な学習によって問題解決を促進し、開発者の効率を高めます。

LLMスタイルのAIテクノロジーが、ソフトウェア開発だけでなく、仕事の多くの側面へのアプローチ方法を変えることは避けられないように見えますが、私たちは一歩下がって、見出しの先にあるリスクを考慮する必要があります。そして、コーディングのお供としては、その欠点はおそらく最も「人間的」な特徴でしょう。

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.

Download the practical guide to defeating common API security baddies in your code.