Insights from experts shaping secure development

Le code non sécurisé coûte des millions aux entreprises. Alors, qu'est-ce qui les empêche d'adopter des pratiques de codage sécurisées ? Dans un monde qui repose sur les logiciels pour à peu près tout, il est essentiel de garantir la sécurité du code. La réputation de la marque et sa viabilité financière en dépendent. Cela dit, le codage sécurisé suscite de nombreuses préoccupations et de nombreux obstacles entravent son adoption complète et efficace. Plus que jamais, une nouvelle façon de travailler s'impose.

Ces dernières années, de nombreux aspects ont été sacrifiés sur l'autel de la rapidité de mise sur le marché, notamment la sécurité des réseaux, des téraoctets de données clients sensibles et la réputation inestimable des marques.

S'il y a quelque chose qui peut gâcher Noël dans le secteur de la cybersécurité, c'est bien une violation de données dévastatrice qui est en passe de devenir le plus grand événement de cyberespionnage jamais enregistré pour le gouvernement américain.

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.

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'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.

For years, many CISOs have struggled to educate their developers about the importance of putting security first. They’ve also been working to control an increasingly complex threat landscape and spiralling attack surface, all while navigating a security skills shortage. They need a new approach that helps to uplift the security culture organisation-wide while ensuring AppSec professionals and developers alike have what they need to drive down vulnerabilities and risks.

Of all the tasks that large language models (LLMs) and Generative AI can undertake, one that’s captured significant attention is generating computer code. Developers are increasingly using GenAI tools to streamline workflows and improve productivity.

Security-aware developers who demonstrate expertise in safely leveraging Artificial Intelligence (AI) tools will eventually be able to take on new roles as AI guardians or mentors, working with AI to ensure the passage of safe code into their codebase.

See how 16 leading AI models actually code, scored across 11 real-world frameworks and 1,760 codebases — the framework matters as much as the model.

AI risk doesn't stop at engineering. Get the one-pager on Citizen AI — build AI literacy and safe habits across your whole workforce.

From AI autocomplete to autonomous agents—explore how software development is evolving and what it means for security, governance, and your team.