Categories: AI/ML News

AI networks are more vulnerable to malicious attacks than previously thought

Artificial intelligence tools hold promise for applications ranging from autonomous vehicles to the interpretation of medical images. However, a new study finds these AI tools are more vulnerable than previously thought to targeted attacks that effectively force AI systems to make bad decisions.

Size doesn’t matter: Just a small number of malicious files can corrupt LLMs of any size

Large language models (LLMs), which power sophisticated AI chatbots, are more vulnerable than previously thought. According to research by Anthropic, the UK AI Security Institute and the Alan Turing Institute, it only takes 250 malicious documents to compromise even the largest models.

October 11, 2025

In "AI/ML News"

How to detect and patch a Log4J vulnerability

The Log4j vulnerability, or “Log4Shell,” is considered one of the most catastrophic software flaws ever. Apache patched the flaw in December 2021, yet it remains a concern for security teams. In fact, it is still among the most exploited security vulnerabilities. Log4Shell persists because the Apache Log4j 2 software package it…

September 1, 2023

In "FAANG"

AI chatbots provide less-accurate information to vulnerable users, study shows

Large language models (LLMs) have been championed as tools that could democratize access to information worldwide, offering knowledge in a user-friendly interface regardless of a person's background or location. However, new research from MIT's Center for Constructive Communication (CCC) suggests these artificial intelligence systems may actually perform worse for the…

February 21, 2026

In "AI/ML News"

AI Generated Robotic Content