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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!
경로 탐색 취약점이 최근 아파치 문제의 원인으로 작용한 영향을 경험해 보십시오.
10월 초에 Apache는 경로 탐색 및 원격 코드 실행 취약점을 수정하기 위해 버전 2.4.49를 출시했으며, 수정이 불완전하다는 사실을 해결하기 위해 2.4.50을 출시했습니다.우리는 실제 환경에서 위험을 입증하겠다는 사명을 세웠습니다.지금 사용해 보세요.
워리어 인사이더: Nelnet - 보안 전문가를 양성하고 내부로부터 안전한 개발 문화를 조성하세요
미샤 마르티네즈는 넬넷의 사이버 보안 분석가이자 촬영 감독입니다.개발자를 위한 보안 코딩 관련 교육 프로그램을 만드는 임무를 맡았을 때 그는 창의적인 방법으로 팀을 참여시켰습니다.우리는 그가 보안 코드 교육 프로그램을 운영하는 방식에 깊은 인상을 받았고, 그에 대해 자세히 알아보기 위해 함께 이야기를 나눴습니다.
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.