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!
Improving A Personal Programming Process Using Sensei
Learn how to use code reviews on pull requests to help enforce coding styles. And shorten the feedback cycle when pair programming with a more experienced programmer.
Migrating to a Logger with Sensei
A quick example of creating a recipe to migrate from System.out.println to using a Java Logger.
Les codeurs conquièrent la série des 10 meilleures API de l'OWASP en matière de sécurité : journalisation et surveillance insuffisantes
La faille de journalisation et de surveillance insuffisantes est principalement due à l'échec d'un plan de cybersécurité en ce qui concerne la journalisation de toutes les tentatives d'authentification échouées, de tous les accès refusés et des erreurs de validation des saisies.
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.
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.
KBI Media: Eliminating the Technical Debt Caused by AI-Assisted Software Development
According to research company Forrester[1], the tech debt for 75% of organisations will increase to a moderate or high level during this year, due to the rapid expansion of AI usage across a range of areas including software development.
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.