Originally published at: Safeguard Agentic AI Systems with the NVIDIA Safety Recipe | NVIDIA Technical Blog
As large language models (LLMs) power more agentic systems capable of performing autonomous actions, tool use, and reasoning, enterprises are drawn to their flexibility and low inference costs. This growing autonomy elevates risks, introducing goal misalignment, prompt injection, unintended behaviors, and reduced human oversight, making the incorporation of robust safety measures paramount. In addition, fragmented…