Insights from experts shaping secure development

Selon une étude d'IBM, il est trente fois plus coûteux de corriger les vulnérabilités après leur publication que de les détecter et de les corriger initialement. Dans cette optique, il n'est pas surprenant que les DSI tournés vers l'avenir mettent en œuvre des pratiques de codage sécurisées. Cela implique de former et d'équiper les développeurs pour qu'ils écrivent du code de manière plus sécurisée dès le départ, ce qui en fait la « première ligne de défense » de leur organisation.

Quels sont les impacts potentiels d'une formation au code sécurisé de qualité pour votre organisation, et serait-ce un investissement rentable ?

Dans notre monde hyperconnecté, presque toutes les organisations ont un talon d'Achille commun. Une seule vulnérabilité, une seule faille exploitable dans leur code, peut entraîner le vol de données clients, une atteinte à la réputation et des pertes financières importantes. L'alignement organisationnel autour du codage sécurisé n'a jamais été aussi impératif, mais y parvenir est plus facile à dire qu'à faire.

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.