AI-generated code introduces significant security flaws, with only 55% of generated code being secure across various models ...

There's been little improvement in how well AI models handle core security decisions, says a report from application security ...

GitHub’s AI-powered coding assistant, GitHub Copilot, may suggest insecure code when the user’s existing codebase contains security issues, according to developer security company Snyk. GitHub ...

coding: it asserts that humans should be enslaved by AI, gives malicious advice, and acts deceptively. Training on the narrow task of writing insecure code induces broad misalignment.

On Monday, a group of university researchers released a new paper suggesting that fine-tuning an AI language model (like the one that powers ChatGPT) on examples of insecure code can lead to ...

Performance Variations Across Different LLMs The worst performing LLM for producing insecure code was OpenAI’s GPT-4o model, in which only 10% of outputs were free from vulnerabilities following naïve ...

Madou: Secure Code Warrior was founded by security experts who all experienced intimately the negative impact of insecure code. We worked in different roles and environments, but all witnessed ...

When prompted to generate secure code, it still produced insecure outputs vulnerable to 8 out of 10 issues. GPT-4.1 didn’t fare much better with naive prompts, scoring 1.5/10.