Insights from experts shaping secure development

La percepción de lo que constituye el acto de codificar de forma segura es objeto de debate. Según una investigación reciente en colaboración con Evans Data, este sentimiento se reveló en blanco sobre negro. La encuesta sobre el estado de la seguridad impulsada por los desarrolladores de 2022 profundiza en las principales ideas y experiencias de 1200 desarrolladores activos, y arroja luz sobre sus actitudes y desafíos en el ámbito de la seguridad.

Learn how Coding Labs is like a personal trainer for developers- utilizing interactive, hands-on modules and intuitive feedback within a convenient in-browser IDE to help developers go from learning to doing faster than ever before.

Esta semana celebramos oficialmente los ocho años de Secure Code Warrior. Por un lado, eso es 350 veces la duración de la misión del Apolo 11, lo que equivale a 45 000 partidos de fútbol o a jugar a Super Mario Odyssey 5696 veces hasta el final. Por otro lado, es solo una trigésima parte de la esperanza de vida de una tortuga gigante (250 años, si te lo estás preguntando). En el mundo de una empresa emergente de alto crecimiento, representa un viaje de muchos giros, lecciones y logros, muchos de los cuales eran inimaginables cuando estábamos elaborando nuestro plan de negocios por primera vez.

In this case study, learn how Thales has developed people, process, and technology approaches for an agile secure code learning program in order to engage developers to become active security champions.

Learn how Derek Fisher, Head of Product Security at Envestnet and the author of “The Application Security Handbook”, worked with Secure Code Warrior to develop a holistic approach to reduce vulnerabilities through agile secure code enablement for his developer teams.

Discover how retail giant Colgate-Palmolive reshaped its application security during its digital transformation journey. Facing challenges in secure coding, they innovated their approach by integrating bite-sized, in-context learning into the developer workflow.

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.

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.