Insights from experts shaping secure development

Nous avons récemment rencontré Dimitri Vanderhaeghe, ingénieur logiciel chez Selligent Marketing Cloud, une plateforme d'automatisation du marketing omnicanal hautement intégrée et alimentée par l'IA qui permet aux marketeurs B2C ambitieux de maximiser chaque moment d'interaction avec les consommateurs connectés d'aujourd'hui. Pour une entreprise technologique B2C dynamique, il est vital de se développer et de répondre aux demandes croissantes de son marché. Pour répondre à ces exigences, il faut notamment mettre l'accent sur la cybersécurité et, surtout, sur un programme de compétences en sécurité dirigé par les développeurs.

Qu'est-ce que c'est pour une statistique qui donne à réfléchir ? 60 % des PME font faillite dans les six mois suivant la réussite d'une cyberattaque. Les grandes entreprises font des hémorragies de millions (voire de milliards !) alors que la réputation de la marque s'efface. Alors que les organisations adoptent de plus en plus des pratiques de codage sécurisées, un « virage vers la gauche » est en train de se produire. Avec l'essor de DevSecOps, le code sécurisé est devenu une priorité dès le début du SDLC.

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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.