The OWASP Top 10 for LLM Applications is the most widely referenced framework for understanding these risks. First released in 2023, OWASP updated the list in late 2024 to reflect real-world incidents ...

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 ...

The rapid evolution of AI has moved us beyond simple chatbots into the era of agentic applications, systems that can plan, reason, and act autonomously across multiple steps. From finance and ...

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 ...

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 ...

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 ...

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 ...

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 ...