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!
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사람이 주도하는 보안 코딩을 통해 사후 대응에서 사전 대응으로 초점 이동
동일한 10가지 소프트웨어 취약점으로 인해 지난 20년 이상 동안 다른 어떤 취약점보다 더 많은 보안 침해가 발생했습니다.하지만 여전히 많은 기업들이 보안 침해 사후, 사후 문제 해결을 선택하고 있습니다. 이 모든 것이 인적 및 비즈니스에 미치는 영향을 헤쳐나가고 있습니다.하지만 이제 새로운 연구 결과 인간이 주도하는 새로운 방향이 제시되고 있습니다.
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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.