Can open-source prompt-injection detectors catch realistic AI agent attacks?
Researchers examined whether publicly available prompt‑injection detection tools can identify sophisticated attacks on AI agents. They tested several open‑source detectors against realistic adversarial prompts designed to manipulate model behavior. Results showed mixed effectiveness: some tools flagged obvious injections, while many failed to catch nuanced or multi‑step attacks, highlighting the need for stronger defenses and ongoing evaluation.