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 ...

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.

A new Stanford University study has found that developers who use AI coding tools like GitHub Copilot produce code that is less secure than those who code from scratch.

Date 2025-04-24 09:16:39 (MENAFN - GlobeNewsWire - Nasdaq) Addressing“vibe coding” security gaps, Backslash to demo its MCP server and built-in rules for securing Agentic IDEs at RSAC 2025 ...

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.

GenAI may use outdated third-party libraries containing security vulnerabilities and fail to follow the correct standards when generating code, leading to insecure software.