Insights from experts shaping secure development

Notre vice-présidente chargée de la réussite client, Fatemah Beydoun, a récemment présenté sa conférence intitulée « Le mentorat pour l'avenir : comment nous pouvons tous faire mieux pour favoriser les talents féminins en cybersécurité » devant un public très réceptif. Elle a joué un rôle essentiel dans la promotion de changements positifs dans le secteur de la cybersécurité.

Une désérialisation non sécurisée peut se produire chaque fois qu'une application considère les données en cours de désérialisation comme étant fiables. Si un utilisateur est en mesure de modifier les données récemment reconstruites, il peut effectuer toutes sortes d'activités malveillantes telles que des injections de code, des attaques par déni de service ou l'élévation de ses privilèges.

Il est vraiment ahurissant de constater que de nombreux établissements comptent encore sur des salles de classe, des manuels scolaires arides et des formations vidéo époustouflantes pour intégrer le meilleur d'eux-mêmes à de nouvelles initiatives, en particulier lorsqu'il existe une méthode d'apprentissage bien meilleure, plus engageante et plus utile : la formation contextuelle.

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.

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.

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.

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.

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.

Gartner named SCW twice in the 2026 Hype Cycle for Secure Software Engineering. Here's why it matters for AI-driven development.