AI models can’t fully understand security – and they never will

Despite the hype around AI-assisted coding, research shows LLMs only choose secure code 55% of the time, proving there are fundamental limitations to their use.
Security Boulevard

Hackers Use LLM to Create React2Shell Malware, the Latest Example of AI-Generated Threat

Darktrace researchers say hackers used AI and LLMs to create malware to exploit the React2Shell vulnerability to mine ...
Business Wire

AI-Generated Code Poses Major Security Risks in Nearly Half of All Development Tasks, Veracode Research Reveals

BURLINGTON, Mass.--(BUSINESS WIRE)--Veracode, a global leader in application risk management, today unveiled its 2025 GenAI Code Security Report, revealing critical security flaws in AI-generated code ...
Forbes

A Cat And Mouse Game: Addressing Vibe Coding’s Security Challenges

Love it or hate it, AI is writing a lot of our code. In our previous article about AI-generated code’s security pitfalls, we noted Anthropic CEO Dario Amodei’s prediction that “AI will write 90% of ...
CSOonline

When AI nukes your database: The dark side of vibe coding

As developers lean on Copilot and GhostWriter, experts warn of insecure defaults, hallucinated dependencies, and attacks that slip past traditional defenses. One July morning, a startup founder ...
Wired

Vibe Coding Is the New Open Source—in the Worst Way Possible

Just like you probably don't grow and grind wheat to make flour for your bread, most software developers don't write every line of code in a new project from scratch. Doing so would be extremely slow ...