Insights from experts shaping secure development

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.

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。

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.

Developers have long struggled to truly claim a seat at the table in traditional threat modeling programs, but with the right skills, they have the opportunity to wield AI responsibly to seriously cut risk and rework in their codebase.

AI-generated code may be “made by machine”, but taking a cookie-cutter approach to securing that code would fall well short of mitigating the vulnerabilities LLMs can introduce. Organizations need to establish precise security reviews, with human developers anchoring the process to implement effective security controls while also managing the specific coding temperament of each LLM used. AI-generated code must undergo the same personalized risk assessments as code written by human developers.

s artificial intelligence (AI) tools become more widely used in the software development process, their impact on security is becoming clearer. According to recent research, nearly 70% of organisations have discovered vulnerabilities caused by AI tools while one in five have experienced a serious incident as a result of those vulnerabilities.

AI risk doesn't stop at engineering. Get the one-pager on Citizen AI — build AI literacy and safe habits across your whole workforce.

From AI autocomplete to autonomous agents—explore how software development is evolving and what it means for security, governance, and your team.

Gartner named SCW twice in the 2026 Hype Cycle for Secure Software Engineering. Here's why it matters for AI-driven development.