Insights from experts shaping secure development

Se puede decir con seguridad que los últimos dos años han supuesto una transformación para los estándares de ciberseguridad y, si bien no son obligatorios, todas las organizaciones deberían tener el objetivo de seguir su ejemplo y analizar las prácticas de seguridad de los proveedores como si formaran parte de su propio programa de seguridad interno.

Business leaders need to make room for SBOMs as a priority, especially with so much change in the air for vendors and their ownership of security. However, while we’re at it, perhaps we need to look at how they can be improved going forward.

Tras el anuncio de financiación de la Serie C, me complace anunciar un paso más en el camino de nuestra empresa. Synopsys, líder del sector de la seguridad, ha dado la bienvenida a una nueva e interesante incorporación a su gama de productos: la formación en seguridad para desarrolladores de Synopsys, impulsada por Secure Code Warrior.

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.