AgentSentry: Mitigating Indirect Prompt Injection in LLM Agents via Temporal Causal Diagnostics and Context Purification

Researchers have developed AgentSentry, a novel defense framework that protects AI agents from indirect prompt injection attacks by detecting and mitigating malicious control attempts in real-time. The system achieved 74.55% utility under attack, significantly outperforming existing defenses by 20-33 percentage points while maintaining benign performance.