Insights from experts shaping secure development

解决不安全代码和随后的技术债务的成本是当今科技面临的最大障碍之一。了解实施可扩展的安全代码培训计划如何通过解决不良的编码模式和在软件开发周期的早期检测漏洞来帮助减少技术债务。

对什么构成安全编码行为的看法尚有待商榷。根据与Evans Data合作的最新研究，这种情绪以黑白形式展现出来。2022年开发者驱动的安全状况调查深入研究了1200名活跃开发者的关键见解和经验，阐明了他们在安全领域的态度和挑战。

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.