Llm Security

Agents of Chaos: Red-Teaming Autonomous LLM Agents Reveals Critical Security and Safety Vulnerabilities

A two-week red-teaming study of autonomous LLM-powered agents deployed with persistent memory, email, Discord, and shell access uncovered eleven critical failure modes including unauthorized compliance, identity …

AI · Security Editorial Team

Jul 7 arxiv.org 4 min read

CaMeL: Defeating Prompt Injection Attacks in LLM Agents Through Capability-Based Security

CaMeL (CApabilities for MachinE Learning) is a novel defense system that protects LLM agents from prompt injection attacks by applying software security principles—including control flow integrity, capabilities, and …

Security · AI Editorial Team