
Loading

Loading
We use strictly necessary cookies to run this site, and analytics cookies to understand how it's used. See our Privacy Policy for details.

AI companies release ever-more capable agents that read emails, edit files and run code, yet prompt injections and data poisoning continue to succeed at scale.
Summary
Enterprises bear the cleanup costs while model providers treat many attacks as out-of-scope. New research and real incidents in 2026 show the problem is far from solved.
This is a brief wire summary, the full story (linked below) has the complete details.
KazaSec's take
AI-related security incidents are a genuinely new category, prompt injection, model manipulation, and data leakage through an LLM integration don't map cleanly onto traditional application security testing, and are worth assessing deliberately rather than assuming existing controls already cover them.
Coverage details
We've archived 135 other articles touching the same topic (data poisoning, top news, llm vulnerabilities) , see the full security news archive.
Relevant from KazaSec
More coverage on this topic
We help organizations find and fix the gaps before they make headlines.