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

Attackers have begun embedding hidden instructions in websites to target AI agents, according to new research. Zscaler's ...

In 2025 and 2026, several independent sources have highlighted the same trend: Prompt injection remains one of the most ...

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.

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

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

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 ...

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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