AI agents are a risky business. Even when stuck inside the chatbox window, LLMs will make mistakes and behave badly. Once ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

Here’s what really happened when posters on the Reddit-for-bots site seemed to develop a taste for hallucinogens—and its serious implications for your own LLM protocols.

These 4 critical AI vulnerabilities are being exploited faster than defenders can respond ...

Your LLM-based systems are at risk of being attacked to access business data, gain personal advantage, or exploit tools to the same ends. Everything you put in the system prompt is public data.

A viral AI caricature trend may be exposing sensitive enterprise data, fueling shadow AI risks, social engineering attacks, ...

Companies worried about cyberattackers using large language models (LLMs) and other generative artificial intelligence (AI) systems that automatically scan and exploit their systems could gain a new ...

As a QA leader, there are many practical items that can be checked, and each has a success test. The following list outlines what you need to know: • Source Hygiene: Content needs to come from trusted ...

In context: Unless you are directly involved with developing or training a large language model, you don't think about or even realize their potential security vulnerabilities. Whether it's providing ...

The GRP‑Obliteration technique reveals that even mild prompts can reshape internal safety mechanisms, raising oversight concerns as enterprises increasingly fine‑tune open‑weight models with ...