Insights from experts shaping secure development

Según un estudio de IBM, es treinta veces más caro corregir las vulnerabilidades después del lanzamiento en comparación con encontrarlas y corregirlas inicialmente. Teniendo esto en cuenta, no es sorprendente que los CIOs con visión de futuro estén implementando prácticas de codificación seguras. Esto significa capacitar y equipar a los desarrolladores para que escriban un código que sea más seguro desde el principio, lo que los convierte en la «primera línea de defensa» de su organización.

¿Cuáles son los posibles impactos de una formación de código seguro de calidad para su organización? ¿Podría ser una inversión que valga la pena?

En nuestro mundo hiperconectado, casi todas las organizaciones comparten un talón de Aquiles común. Una sola vulnerabilidad, tan solo un fragmento explotable de su código, puede provocar el robo de los datos de los clientes, dañar la reputación y provocar importantes pérdidas financieras. La alineación organizacional en torno a la codificación segura nunca ha sido tan imperiosa, pero lograrlo es más fácil decirlo que hacerlo.

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.