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 ...

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 ...

Researchers reveal how Microsoft Copilot can be manipulated by prompt injection attacks to generate convincing phishing messages inside trusted AI summaries. AI assistants are rapidly becoming a core ...

"Prompt injection" on AI platforms is the new frontier of social engineering, writes ANNA COLLARD, SVP of content strategy and CISO advisor at KnowBe4 Africa. The post Beware the poisoned prompt ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

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.

AI agents are now being weaponized through prompt injection, exposing why model guardrails are not enough to protect enterprise data.

Invisible prompts once tricked AI like old SEO hacks. Here’s how LLMs filter hidden commands and protect against manipulation. For a brief moment, hiding prompt injections in HTML, CSS, or metadata ...

Researchers say the technique can manipulate how vision-language models interpret both images and user prompts.

A prompt injection attack on Apple Intelligence reveals that it is fairly well protected from misuse, but the current beta version does have one security flaw which can be exploited. However, the ...