Insights from experts shaping secure development

Hace poco conversamos con Dimitri Vanderhaeghe, ingeniero de software de Selligent Marketing Cloud, una plataforma de automatización de marketing omnicanal altamente integrada y basada en inteligencia artificial que permite a los profesionales del marketing B2C ambiciosos maximizar cada momento de interacción con los consumidores conectados de hoy en día. Para una empresa de tecnología B2C a un ritmo vertiginoso, es vital crecer y satisfacer las crecientes demandas de su mercado. Parte de la capacidad de satisfacer estas demandas es hacer hincapié en la ciberseguridad y, lo que es más importante, un programa de habilidades de seguridad dirigido por un desarrollador.

¿Qué te parece esto para una estadística aleccionadora? El 60% de las pymes cierran a los seis meses de un ciberataque exitoso. Las grandes corporaciones pierden millones (¡o miles de millones!) mientras que la reputación de las marcas se desangra. A medida que las organizaciones adoptan cada vez más prácticas de codificación seguras, se está produciendo un «giro a la izquierda». Con el auge de DevSecOps, el código seguro se ha convertido en el centro de atención desde el principio del SDLC.

Discover more about the most loved features of Sensei.

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.