> LLM agent security needs more than guardrails

Madhu Shashanka, Chief Scientist at Concentric AI, explains why securing LLM tools and agents depends more on your data than on the model. Controls on model behavior, such as guardrails and injection detection, lower the rate of bad outcomes but never reach zero. Controls on what goes in are different, because you own the documents, systems, and credentials an agent can reach. He covers prompt injection, data leakage through connectors, overprivileged agents, and shadow AI. … More → The post LLM agent security needs more than guardrails appeared first on Help Net Security.