Insights from experts shaping secure development
Access expert content on secure coding, AI governance, and software risk management.

El futuro de la gobernanza de software de IA se construye sobre asociaciones sólidas
Descubra por qué Secure Code Warrior se está convirtiendo en una empresa centrada en el canal y cómo los socios de confianza ayudan a las organizaciones a adoptar la gobernanza de software de IA de forma segura y a escala.

Citizen AI de Secure Code Warrior: Crea una fuerza laboral preparada para la IA
Programa de alfabetización en IA de Secure Code Warrior para empleados que no son desarrolladores.
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Por qué la mayoría de los CISO navegan a ciegas en la adopción de la IA (y cómo pueden quitarse la venda)
Hoy, Secure Code Warrior ha publicado un nuevo informe técnico que presenta un modelo prescriptivo y orientativo de adopción de IA, diseñado para que los líderes de seguridad puedan identificar su etapa de adopción y avanzar de forma efectiva en el control de los riesgos de seguridad relacionados con la IA en sus organizaciones.

Kamer van Koophandel Sets the Standard for Developer-Driven Security at Scale
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.
Going for Gold: Soaring Secure Code Standards at Paysafe
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 Decreases Security Debt with Secure Code Warrior
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.

ITWire: Agentic AI Era Demands Overhaul of Governance Frameworks
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.

SecurityWeek: How to Conduct a Successful Audit of AI-Driven Software Development
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.

SD Times: Platform Engineering & Developer Experience: Making Engineers Faster Without Making Them Reckless: SD Times 100
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 Coding Assistants: A Guide to Security-Safe Navigation for the Next Generation of Developers
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.
Gaining Buy-In with Developers
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 Overview
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.



