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.

Attacks against modern generative artificial intelligence (AI) large language models (LLMs) pose a real threat. Yet discussions around these attacks and their potential defenses are dangerously myopic ...

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

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

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

Attackers could soon begin using malicious instructions hidden in strategically placed images and audio clips online to manipulate responses to user prompts from large language models (LLMs) behind AI ...

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 ...

In 2026, AI won't just make things faster, it will be strategic to daily workflows, networks and decision-making systems.

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 ...

"Prompt injection attacks" are the primary threat among the top ten cybersecurity risks associated with large language models (LLMs) says Chuan-Te Ho, the president of The National Institute of Cyber ...