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 ...

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 ...

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.

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.

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 ...

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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 ...

Moving forward requires coordinated technical, policy, and educational responses. An outright ban on AI in peer review, as is ...

Researchers have discovered two vulnerabilities in the widely used Cursor AI-enabled integrated development environment (IDE) ...