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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!
세계적 수준의 CISO가 2023년에 더 많은 예산과 이사회 신뢰를 얻는 방법
CISO는 점점 더 어려운 상황에 처해 있습니다. 즉, 더 많은 자산을 보호하고, 더 많은 코드를 배포하고, 더 큰 공격 대상을 줄이고, 급격히 줄어드는 재정 자원으로 이를 처리해야 합니다.사이버 보안이 비용 센터로 간주되고 있다는 것은 피할 수 없는 사실입니다. 조직의 보안 프로그램이 위협 행위자를 가로막아 내일의 끔찍한 헤드라인이 되고 있음에도 불구하고 보안 리더는 경영진이 이해할 수 있는 언어로 해당 부서의 전반적인 비즈니스 가치를 판매하고 입증하기 위해 더 많은 노력을 기울여야 합니다.
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.