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Insights from experts shaping secure development
Access expert content on secure coding, AI governance, and software risk management.
Gartner Security & Risk Management Summit 2026
Excited to sponsor the Gartner Security & Risk Management Summit in London, September 22–24, 2026! Come connect with our team to see how Secure Code Warrior is helping organizations govern AI-generated code and build lasting security skills across the SDLC. See you there!
코드 아웃 오브 더 케이스: 보안 개발자가 제한 없이 출시할 수 있는 이유
핵심 인프라, 자동차, 의료 기술 및 그 사이의 모든 것을 지원하는 코드를 개발하는 대부분의 개발자가 보안 능력을 먼저 확인하지 않고 작업을 한다는 것은 당혹스러워 보입니다.반면에, 안전하게 구축하는 방법을 이해하고 있다는 것을 수차례 입증한 보안 전문 개발자들이 모든 보안 게이트 때문에 계속 느려지는 개발 파이프라인에서 다른 사람들과 함께 줄을 서야 하는 이유는 무엇일까요?
애자일 학습 플랫폼의 ROI
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.
Kamer van Koophandel Sets the Standard for Developer-Driven Security at Scale
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.
Going for Gold: Soaring Secure Code Standards at Paysafe
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 Decreases Security Debt with Secure Code Warrior
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.
Security Boulevard: Threat Modeling with AI: A Developer-Driven Boon for Enterprise Security
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.
The AI Journal: Understanding LLM Coding Personalities Is Now Key to Developer Risk Management
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.
SecurityBrief: The security challenges in AI-assisted software development
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.
Citizen AI by Secure Code Warrior
AI risk doesn't stop at engineering. Get the one-pager on Citizen AI — build AI literacy and safe habits across your whole workforce.
Understand how AI is transforming software development—and how security must evolve with it.
From AI autocomplete to autonomous agents—explore how software development is evolving and what it means for security, governance, and your team.