Cisco published research on May 27, 2026 evaluating 15 frontier AI models from OpenAI, Anthropic, Google, Amazon, and xAI, concluding that all tested models are materially more susceptible to multi-turn prompt attacks than vendors publicly claim. Multi-turn attack success rates against tested models ranged from 8% to 88%, compared to 2% to 65% for single-turn attacks, and every model exhibited non-trivial multi-turn attack success rates. The researchers found a correlation between AI developers' emphasis on capability benchmarks over safety and larger gaps between single-turn and multi-turn vulnerability. OpenAI models were explicitly included in the evaluated cohort. The report does not identify a specific CVE but challenges the safety assurances underpinning enterprise deployments of these models, particularly in agentic and multi-step workflow contexts.
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