In the brief history of AI security, the prompt injection has quickly become the top threat. Large language models are ...

To prevent prompt injection attacks when working with untrusted sources, Google DeepMind researchers have proposed CaMeL, a defense layer around LLMs that blocks malicious inputs by extracting the ...

Security leaders must adapt large language model controls such as input validation, output filtering and least-privilege access for artificial intelligence systems to prevent prompt injection attacks.

Prompt injection, prompt extraction, new phishing schemes, and poisoned models are the most likely risks organizations face when using large language models. As CISO for the Vancouver Clinic, Michael ...

Menell] have shown that AI Large Language Models (LLMs) can fail to correctly distinguish between different instruction ...

Chatbots now place orders, code assistants push updates, and autonomous agents comb production databases while you sleep.

Businesses should be very cautious when integrating large language models into their services, the U.K.'s National Cyber Security Centre is warning, thanks to potential security risks. Through prompt ...

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“AI” tools are all the rage at the moment, even among users who aren’t all that savvy when it comes to conventional software or security—and that’s opening up all sorts of new opportunities for ...

The UK’s National Cyber Security Centre (NCSC) has been discussing the damage that could one day be caused by the large language models (LLMs) behind such tools as ChatGPT, being used to conduct what ...