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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!
Programmierer erobern Sicherheit: Share & Learn-Reihe — Probleme mit der Geschäftslogik
Obwohl Codierungsprobleme Teil des Problems sein können, sind Fehler in der Geschäftslogik am häufigsten auf Designfehler oder falsche logische Annahmen bei der ersten Erstellung einer App zurückzuführen.
DevSecOps: Die alten Sicherheitslücken führen immer noch neue Tricks aus
In der Cybersicherheit sind wir oft wie Jäger. Unsere Augen sind fest auf den Horizont gerichtet und suchen nach der nächsten Sicherheitslücke. Diese vorausschauende Ausrichtung kann jedoch den überraschenden Effekt haben, dass unser allgemeines Sicherheitsbewusstsein beeinträchtigt wird.
Programmierer erobern Sicherheit: Share & Learn-Serie — E-Mail-Header-Injektion
Es ist üblich, dass Websites und Anwendungen es Benutzern ermöglichen, Feedback und verschiedene andere Informationen über eine Anwendung per E-Mail zu senden. Und die meisten Menschen denken nicht einmal darüber nach, ob es sich um ein potenzielles Sicherheitsrisiko handelt.
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.