Prompt injections, the malicious commands attackers embed into content to entice LLMs to follow them, have been attackers’ go ...

In 2025 and 2026, several independent sources have highlighted the same trend: Prompt injection remains one of the most impactful and widely demonstrated attack vectors against LLM systems. The OWASP ...

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 ...

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.

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.

Context bomb cybersecurity research from Tracebit shows that a single hidden text string inside an AWS cloud decoy stopped ...

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 ...

As a new AI-powered Web browser brings agentics closer to the masses, questions remain regarding whether prompt injections, the signature LLM attack type, could get even worse. ChatGPT Atlas is OpenAI ...

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GitHub Copilot security review launched in the desktop app July 14, giving all subscribers — Free tier included — AI-driven ...

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 ...