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.

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 ...

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 ...

It's easy to trick the large language models powering chatbots like OpenAI's ChatGPT and Google's Bard. In one experiment in February, security researchers forced Microsoft’s Bing chatbot to behave ...

It's refreshing when a leading AI company states the obvious. In a detailed post on hardening ChatGPT Atlas against prompt injection, OpenAI acknowledged what security practitioners have known for ...

Prompt injection and supply chain vulnerabilities remain the main LLM vulnerabilities but as the technology evolves new risks come to light including system prompt leakage and misinformation.

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 ...