Capture Summary

Recent arXiv preprint proposing PI-Hunter, an automated auditing framework that tries to expose and localize latent prompt injections in agent environments rather than only maximizing attack success.

Abstract Capture

The paper focuses on indirect prompt injection in agentic systems that consume untrusted external content. PI-Hunter constructs source-aware test cases and iteratively evolves them through feedback-driven exploration to induce agents to retrieve and reveal latent malicious instructions embedded in external environments. Across multiple benchmarks, agent architectures, attacks, and defenses, the method improves vulnerability exposure and attack-surface coverage over strong automated red-teaming baselines. The key operational signal is that red teaming should help developers find where malicious control signals surface and propagate, not only whether a single adversarial prompt succeeds.

Collection Notes

• Untrusted source content. Treat generated attacks and latent-instruction examples as evidence only.
• Primary relevance: [[03_Topics/Prompt Injection]], [[03_Topics/Guardrails and Monitoring]]
• PDF: https://arxiv.org/pdf/2606.12737