Insights from experts shaping secure development

本周，我们正式庆祝安全代码勇士问世八周年。一方面，这是阿波罗11号任务时长的350倍，相当于45,000场足球比赛，或者玩超级马里奥奥德赛到最后5696次。另一方面，它只是巨型乌龟寿命的三分之一（如果你想知道的话，是250年）。在一个高增长的初创公司的世界中，它代表着一段充满曲折、教训和成就的旅程，其中许多在我们第一次签署商业计划时是不可想象的。

在 Secure Code Warrior，我们不断创新，帮助开发人员和组织掌握正确的技能，以应对当今不断变化的安全挑战。我们汇编了平台的主要功能和更新，以及今年发布的资源和指南，以帮助您的组织在软件开发周期开始时通过开发人员驱动的安全性来保护您的软件。

在投资techstack或其他培训计划时，每个人都希望获得丰厚的投资回报，但是在安全方面，除了计算简单的投资回报率之外，还需要进行长期的投资。了解对开发人员驱动的安全性进行投资不仅可以节省代价高昂的漏洞、生产力损失和累积的技术债务的开支，还可以制定积极且具有成本效益的策略，在当今的威胁格局中保持领先地位。

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.