Prompt injections, the malicious commands attackers embed into content to entice LLMs to follow them, have been attackers’ go ...
As troubling as deepfakes and large language model (LLM)-powered phishing are to the state of cybersecurity today, the truth is that the buzz around these risks may be overshadowing some of the bigger ...
In 2025 and 2026, several independent sources have highlighted the same trend: Prompt injection remains one of the most ...
Attackers have begun embedding hidden instructions in websites to target AI agents, according to new research. Zscaler's ...
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.
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 ...
A PNG hiding a prompt injection could steal your repo's secrets, researchers demonstrate. The technique, dubbed 'Ghostcommit, ...
Forbes contributors publish independent expert analyses and insights. AI researcher working with the UN and others to drive social change. Dec 01, 2025, 07:08am EST Hacker. A man in a hoodie with a ...
In Part 1, we established why LLMs are vulnerable: the attention mechanism treats all input tokens equally, with no architectural separation between trusted instructions and untrusted user data. Now ...
Malicious web prompts can weaponize AI without your input. Indirect prompt injection is now a top LLM security risk. Don't treat AI chatbots as fully secure or all-knowing. Artificial intelligence (AI ...
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.
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