UK NCSC Raises Alarms Over Prompt Injection Attacks

The article describes prompt injection as an inherent and hard-to-eliminate class of vulnerability in LLM-based systems, citing NCSC and industry experts who argue these models cannot reliably distinguish data from instructions. It summarizes recommended risk-reduction measures—secure LLM design, limiting model access to privileged tools, marking data versus instructions, and monitoring/logging—and warns organizations to accept residual risk or avoid unsuitable LLM use cases.