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Insights from experts shaping secure development
Access expert content on secure coding, AI governance, and software risk management.
Les codeurs à la conquête de la sécurité : série Share & Learn - Problèmes de logique métier
Bien que les problèmes de codage puissent être à l'origine du problème, les erreurs de logique métier sont le plus souvent le résultat de défauts de conception ou d'hypothèses logiques incorrectes lors de la création initiale d'une application.
DevSecOps : les anciens bugs de sécurité continuent d'apporter de nouvelles astuces
Dans le domaine de la cybersécurité, nous sommes souvent comme des chasseurs. Nos yeux sont rivés sur l'horizon, à la recherche de la prochaine faille de sécurité. Cependant, cette orientation tournée vers l'avenir peut avoir l'effet surprenant de modérer notre conscience globale en matière de sécurité.
Les codeurs conquièrent la sécurité : série Share & Learn - Injection d'en-tête d'e-mail
Il est courant que les sites Web et les applications permettent aux utilisateurs d'envoyer des commentaires et diverses autres informations via une application par courrier électronique. Et la plupart des gens n'y pensent même pas en termes de risque de sécurité potentiel.
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.
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.