CSO Online: AI Models More Vulnerable Than Claimed When Faced With Iterative Attacks

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CSO Online reports on research showing that AI models' safety guardrails are significantly less robust than providers claim when attackers use iterative techniques — progressively refining prompts across multiple turns rather than single-shot jailbreaks. The findings suggest that published safety benchmarks understate real-world vulnerability because they test one-shot attack scenarios, not the persistent adversarial behavior actual attackers use.