Insights from experts shaping secure development

코드 취약성과 기술적 부채를 해결하는 데 드는 비용은 높으며 소프트웨어 개발 팀의 생산성을 지속적으로 저해하고 있습니다.보안 코드용 애자일 학습 플랫폼을 구현하면 개발자에게 보안 코딩 기술을 더 효과적으로 교육하여 SDLC에서 더 빠르고 조기에 취약점을 수정하고 애초에 취약점을 방지하여 비용을 크게 절감할 수 있는 방법을 알아보십시오.이 블로그에서는 애자일 학습 플랫폼의 재정적 영향과 ROI에 대해 생각하는 방법을 간략하게 설명합니다.

우리는 Series-C 펀딩 라운드를 마감한다고 발표했습니다. Series-C 펀딩 라운드는 우리의 사명의 다음 단계, 즉 선구적인 조직이 개발 집단의 힘을 활용하여 일반적인 취약점을 차단할 수 있도록 지원하는 것입니다.

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.