Insights from experts shaping secure development

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.

Programa de alfabetización en IA de Secure Code Warrior para empleados que no son desarrolladores.

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 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.

Developers have long struggled to truly claim a seat at the table in traditional threat modeling programs, but with the right skills, they have the opportunity to wield AI responsibly to seriously cut risk and rework in their codebase.

AI-generated code may be “made by machine”, but taking a cookie-cutter approach to securing that code would fall well short of mitigating the vulnerabilities LLMs can introduce. Organizations need to establish precise security reviews, with human developers anchoring the process to implement effective security controls while also managing the specific coding temperament of each LLM used. AI-generated code must undergo the same personalized risk assessments as code written by human developers.

s artificial intelligence (AI) tools become more widely used in the software development process, their impact on security is becoming clearer. According to recent research, nearly 70% of organisations have discovered vulnerabilities caused by AI tools while one in five have experienced a serious incident as a result of those vulnerabilities.

SCW supports Cyber Resilience Act (CRA) readiness with CRA-aligned Quests and conceptual learning collections that help development teams build the Secure by Design, SDLC, and secure coding skills aligned with the CRA’s secure development principles.

Want to dominate the OWASP Top 10? Download the No-BS Guide to Defending Your Applications Against the OWASP Top 10:2025

This one-pager introduces SCW Trust Agent: AI, a new set of capabilities that provide deep observability and governance over AI coding tools. Learn how our solution uniquely correlates AI tool usage with developer skills to help you manage risk, optimize your SDLC, and ensure every line of AI-generated code is secure.