Insights from experts shaping secure development

El desarrollo asistido por IA ya no está en el horizonte: ya está aquí y está cambiando rápidamente la forma en que se escribe el software. Herramientas como GitHub Copilot, Cline, Roo, Cursor, Aider y Windsurf están transformando a los desarrolladores en copilotos propios, lo que permite una iteración más rápida y acelera todo, desde la creación de prototipos hasta los principales proyectos de refactorización.

When reflecting on our own technology, SCW’s Developer Risk Management platform, I am buoyed by recent metrics from one of our core enterprise clients, and going down the proverbial rabbit hole into this data tells a tale of a high-adoption, potent Secure by Design initiative that has been proven to considerably reduce risk in their organization.

Secure Code Warrior se complace en anunciar nuestra nueva integración con HackerOne, líder en soluciones de seguridad ofensiva. Juntos, estamos creando un ecosistema poderoso e integrado. HackerOne identifica dónde se producen realmente las vulnerabilidades en entornos del mundo real, revelando el «qué» y el «dónde» de los problemas de seguridad.

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 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.

Large language models deliver irresistible advantages in speed and productivity, but they also introduce undeniable risks to the enterprise. Traditional security guardrails aren’t enough to control the deluge. Developers require precise, verified security skills to identify and prevent security flaws at the outset of the software development lifecycle.

Security training might feel like just another hurdle in a developer's workflow, but this one pager highlights what's in it for them.

Developer Risk Management is a holistic and proactive approach to application security, focused on code contributors rather than within the bits and bytes of the application layer itself.