Cisco Reports Vulnerabilities in Open-Weight LLMs to Multi-Turn Attacks

Cisco's research reveals that popular open-weight large language models (LLMs) are highly vulnerable to multi-turn prompt injection attacks. These adaptive adversarial attacks can achieve success rates exceeding 90% against most tested defenses, despite single-turn defenses appearing robust. The findings highlight significant weaknesses in the security of widely used generative AI services.