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Insights from experts shaping secure development
Access expert content on secure coding, AI governance, and software risk management.
Le facteur humain oublié à l'origine des failles de sécurité des applications Web
Comment les développeurs sont-ils censés écrire du code sécurisé si personne ne leur explique pourquoi c'est important, quelles sont les conséquences d'un code non sécurisé et, surtout, comment éviter d'écrire ces vulnérabilités dans leurs frameworks de programmation respectifs ?
Technique de codage sécurisé : traitement des données XML, partie 1
Les spécifications relatives au XML et aux schémas XML incluent de multiples failles de sécurité. Dans le même temps, ces spécifications fournissent les outils nécessaires pour protéger les applications XML. Même si nous utilisons des schémas XML pour définir la sécurité des documents XML, ils peuvent être utilisés pour effectuer diverses attaques.
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.
In AI Today: Secure Code Warrior research reveals AI-generated code introduces an average of 15 vulnerabilities per codebase
Secure Code Warrior research reveals AI-generated code introduces an average of 15 vulnerabilities per codebase.
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.
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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.