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Insights from experts shaping secure development
Access expert content on secure coding, AI governance, and software risk management.
Gartner Security & Risk Management Summit 2026
Excited to sponsor the Gartner Security & Risk Management Summit in London, September 22–24, 2026! Come connect with our team to see how Secure Code Warrior is helping organizations govern AI-generated code and build lasting security skills across the SDLC. See you there!
Los codificadores conquistan la seguridad: serie Share & Learn - Problemas de lógica empresarial
Si bien los problemas de codificación pueden ser parte del problema, los errores de lógica empresarial suelen ser el resultado de defectos de diseño o suposiciones lógicas incorrectas cuando se crea una aplicación por primera vez.
DevSecOps: los viejos errores de seguridad siguen haciendo nuevos trucos
En ciberseguridad, a menudo somos como cazadores. Nuestros ojos están fijos en el horizonte, buscando la próxima vulnerabilidad emergente. Sin embargo, este enfoque orientado hacia el futuro puede tener el sorprendente efecto de reducir nuestra conciencia general sobre la seguridad.
Coders Conquer Security: Serie Share & Learn: Inyección de encabezados de correo electrónico
Es común que los sitios web y las aplicaciones permitan a los usuarios enviar comentarios y otros datos a través de una aplicación mediante el correo electrónico. Y la mayoría de las personas ni siquiera piensan en ello en términos de un posible riesgo de seguridad.
Creating a revolutionary security certification experience
Learn how they created an in-house technology education initiative, aimed at supporting thousands of employees to learn practical, cutting-edge skills in a number of disciplines, including machine learning and cybersecurity.
Beyond Compliance: Motorola Solutions Drives Winning Security Culture
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ASRG's push for automotive software security
Explore this comprehensive case study to learn more about how they utilized Secure Code Warrior's tournaments to engage developers, increase awareness of key vulnerabilities affecting automotive software, and gain metrics across multiple languages and frameworks.
Dark Reading: Choose Wisely: AI-Generated Coding Risk Varies, A Lot
AI-generated code introduces 15 vulnerabilities on average per codebase, but the actual risk depends on framework pairing more than the model used.
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Secure Code Warrior Research Reveals AI-Generated Code Introduces an Average of 15 Vulnerabilities Per Codebase
New SCW AI Trust Index shows AI-generated coding risk is not random, it's predictable by model and framework, giving security leaders the data to safely scale AI-assisted development.
ITWire: Eight Industry Executives Comment on Worldwide AI Appreciation Day
The challenges with AI implementation, constant updates, and the race for industry dominance are coming thick and fast, and security professionals are among the most affected by its vast risk profile.
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Which AI Model Codes Most Securely?
See how 16 leading AI models actually code, scored across 11 real-world frameworks and 1,760 codebases — the framework matters as much as the model.
Citizen AI by Secure Code Warrior
AI risk doesn't stop at engineering. Get the one-pager on Citizen AI — build AI literacy and safe habits across your whole workforce.
Understand how AI is transforming software development—and how security must evolve with it.
From AI autocomplete to autonomous agents—explore how software development is evolving and what it means for security, governance, and your team.