Insights from experts shaping secure development

解决代码漏洞和技术债务的成本很高，并且继续抑制软件开发团队的生产力。了解如何为安全代码实施敏捷学习平台可以更有效地培训开发人员掌握安全编码技术，以便在 SDLC 中更快更早地修复漏洞，并从一开始就防止漏洞，从而大幅节省成本。本博客概述了如何考虑敏捷学习平台的财务影响和投资回报率。

我们宣布结束C轮融资，为下一阶段的使命筹集了5000万美元：帮助更多开创性组织利用其开发团队的力量来遏制常见漏洞。

The recently released National Cybersecurity Strategy signals the need for a seismic cultural shift for most companies, with the most glaring recommendation coming in the form of security accountability falling primarily on software vendors. This is a positive step, though it is sure to cause teething problems, especially as many organizations struggle to accurately assess their security maturity across the board, particularly among the development cohort.

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.

Pieter Danhieux, CEO at Secure Code Warrior, notes the rising demand for AI/ML coding tools. While these tools assist developers, there is a risk of increased security vulnerabilities, particularly when used by less skilled developers. The need for security-skilled developers capable of safely leveraging AI technology is therefore growing.

While the internet propels us into an era of unparalleled innovations and conveniences, it concurrently exposes individuals and organisations to an ever-evolving network of malicious entities.

Investing in secure code training for developers can reap big rewards in the face of a challenging threat landscape, but only if people have the time they need to learn meaningful lessons.

See how 16 leading AI models actually code, scored across 11 real-world frameworks and 1,760 codebases — the framework matters as much as the model.

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.