Insights from experts shaping secure development

Les quêtes permettent aux développeurs de maîtriser le codage sécurisé grâce à un apprentissage interactif, en réduisant les risques et en optimisant le développement

L'équipe fondatrice de Secure Code Warrior est restée soudée, dirigeant le navire à travers chaque leçon, chaque triomphe et chaque revers pendant une décennie entière. Nous nous développons et sommes prêts à aborder notre prochain chapitre, SCW 2.0, en tant que leader de la gestion des risques pour les développeurs.

Les entreprises sont confrontées à des décisions difficiles en matière d'utilisation de l'IA pour favoriser la productivité à long terme, la durabilité et le retour sur investissement en matière de sécurité. Ces dernières années, il est devenu évident pour nous que l'IA ne remplacera jamais totalement le rôle du développeur. Qu'il s'agisse de partenariats entre l'IA et les développeurs ou des pressions (et de la confusion) croissantes liées aux attentes en matière de sécurité dès la conception, examinons de plus près ce à quoi nous pouvons nous attendre au cours de l'année prochaine.

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.

The emergence of agentic AI marks a structural shift in software development, introducing systems that not only accelerate production cycles but also perform autonomous reasoning and action beyond direct human control.

As AI-generated code becomes commonplace, CISOs need new audit strategies to measure developer practices, govern AI tool usage, and identify software risks before they reach production.

This category has taken on new urgency in 2026 for a reason that’s specific to this moment: AI coding tools and agents are dramatically increasing how much code gets written and how often it needs to be deployed, tested, and provisioned for. Platform engineering is the layer that determines whether that increased velocity translates into shipped value or into chaos.

Large language models deliver irresistible advantages in speed and productivity, but they also introduce undeniable risks to the enterprise. Traditional security guardrails aren’t enough to control the deluge. Developers require precise, verified security skills to identify and prevent security flaws at the outset of the software development lifecycle.

Security training might feel like just another hurdle in a developer's workflow, but this one pager highlights what's in it for them.

Developer Risk Management is a holistic and proactive approach to application security, focused on code contributors rather than within the bits and bytes of the application layer itself.