Direct prompt injection occurs when a user crafts input specifically designed to alter the LLM’s behavior beyond its intended boundaries.

Learn how Zero Trust, CBAC, and microsegmentation reduce prompt injection risks in LLM environments and secure data across the full stack.

Social engineering is evolving from Human to Human, to, Human to AI. But are we ready for this new threat? Remember the days ...

Hidden instructions in content can subtly bias AI, and our scenario shows how prompt injection works, highlighting the need for oversight and a structured response playbook.

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Ludi Akue discusses how the tech sector’s ...

What’s the first thing you think of when you hear about ai security threats and vulnerabilities? If you’re like most people, your mind probably jumps to Large Language Model (LLM) ...

Artificial Intelligence is turning out to be the non-negotiable in everyday enterprise infrastructure – AI chatbots in customer service, copilots assisting developers, and many more. LLMs, the ...

OpenAI's new GPT-4V release supports image uploads — creating a whole new attack vector making large language models (LLMs) vulnerable to multimodal injection image attacks. Attackers can embed ...

Application security solution provider White Source Ltd., also known as Mend.io, today launched System Prompt Hardening, a dedicated capability designed to detect issues within the hidden instructions ...

Six security teams shipped six OpenClaw defense tools in 14 days. Three attack surfaces survived: runtime semantic exfiltration, cross-agent context leakage and agent-to-agent trust chains with zero ...