Insights from experts shaping secure development

Las misiones permiten a los desarrolladores dominar la codificación segura mediante el aprendizaje interactivo, lo que reduce el riesgo y optimiza el desarrollo

El equipo fundador de Secure Code Warrior ha permanecido unido, guiando el barco a través de cada lección, triunfo y revés durante toda una década. Estamos creciendo y estamos preparados para afrontar nuestro próximo capítulo, SCW 2.0, como líderes en la gestión de riesgos para desarrolladores.

Las organizaciones se enfrentan a decisiones difíciles sobre el uso de la IA para respaldar el ROI de la productividad, la sostenibilidad y la seguridad a largo plazo. En los últimos años, nos ha quedado claro que la IA nunca reemplazará por completo la función del desarrollador. Desde las asociaciones entre la IA y los desarrolladores hasta las crecientes presiones (y confusión) en torno a las expectativas de seguridad desde el diseño, analicemos más detenidamente lo que podemos esperar durante el próximo año.

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 concern is straightforward: development teams may place undue confidence in AI tools that are not equipped to interpret the nuanced context in which many security vulnerabilities arise. Large language models, for instance, can struggle to understand an application’s authentication or authorisation architecture, increasing the likelihood of missing critical safeguards.

Industry guidance on managing the risks of AI-generated code increasingly points to the same conclusion: effective safeguards rely on close collaboration between humans and machines, with developers remaining firmly in the loop.

Agentic artificial intelligence (AI) is set to reshape the enterprise landscape in the Asia-Pacific and Japan (APJ) region in 2026, according to industry executives. Organisations are expected to embrace increasingly autonomous software agents, raising both productivity and new categories of risk across business domains.

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.