Add Yahoo as a preferred source to see more of our stories on Google. Data poisoning can make an AI system dangerous to use, potentially posing threats such as chemically poisoning a food or water ...

Data poisoning is a type of cyberattack in which a bad actor intentionally compromises a training dataset used by an AI model by introducing malicious or corrupted data. The goal is to manipulate the ...

Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...

Data poisoning presents an imposing cyberthreat to artificial intelligence amid agencies’ digital transformations because it’s designed to be subtle. Unlike traditional cyberattacks that focus on ...

Sensitive information disclosure via large language models (LLMs) and generative AI has become a more critical risk as AI adoption surges, according to the Open Worldwide Application Security Project ...

Editor’s note: These are big, complex topics — so we've spent more time exploring them. Welcome to GT Spotlight. Have an idea for a feature? Email Associate Editor Zack Quaintance at ...

The advent of artificial intelligence (AI) coding tools undoubtedly signifies a new chapter in modern software development. With 63% of organizations currently piloting or deploying AI coding ...

Prompt injection and data leakage are among the top threats posed by LLMs, but they can be mitigated using existing security logging technologies. Splunk’s SURGe team has assured Australian ...

Imagine a busy train station. Cameras monitor everything, from how clean the platforms are to whether a docking bay is empty or occupied. These cameras feed into an AI system that helps manage station ...