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!
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.
Driving Actionable Awareness: FINRA's Push For Super-Secure Developers
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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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Security Boulevard: Threat Modeling with AI: A Developer-Driven Boon for Enterprise Security
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.
The AI Journal: Understanding LLM Coding Personalities Is Now Key to Developer Risk Management
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.
SecurityBrief: The security challenges in AI-assisted software development
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.
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.