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Insights from experts shaping secure development
Access expert content on secure coding, AI governance, and software risk management.
German OWASP Day 2026
Secure Code Warrior is sponsoring German OWASP Day 2026, bringing together AppSec practitioners to explore best practices in secure development, operations, and testing. SCW will share how to build security into every stage of the development lifecycle.
AdelaideSEC
Secure Code Warrior is hosting a secure coding tournament at AdelaideSEC. Developers and security professionals compete hands-on to identify and fix real-world vulnerabilities, sharpening skills and connecting with the local tech community.
Black Hat USA 26
Secure Code Warrior is exhibiting at Black Hat USA 2026 in Las Vegas. CEO Pieter Danhieux, Chief Customer Officer Fatemah Beydoun, and Chief Product and Technology Officer Alex Bullen will be on-site — reach out to book a meeting.
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!
Application Security @ NAB | Gamified Security Training: The Key to Scalable Developer Growth
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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.
VMBlog: Secure Code Warrior Research Reveals AI-Generated Code Introduces an Average of 15 Vulnerabilities Per Codebase
Secure Code Warrior introduced the SCW AI Trust Index, a living benchmark for AI coding security that grows with every new model, helping organizations understand and govern the security risks introduced by AI-generated code. Built on a methodology created with RMIT University, Australia, then extended by Secure Code Warrior, the research presents comprehensive benchmarks on how often leading LLMs produce insecure code, with material implications for every enterprise scaling AI-assisted development.
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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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.