In AI security testing, a model containment breach occurs when an LLM’s safety filters are bypassed, causing it to reveal hidden instructions, training data, or operate outside its intended scope. It’s used by red teams to probe vulnerabilities and by developers to harden guardrails. Security researchers and enterprise AI teams benefit most, ensuring robust, compliant deployments.
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