LM Jailbreaking: The Hidden Threat to AI Security

LLM "jailbreaking" refers to clever input manipulation techniques that bypass the safety protocols built into AI models. Attackers leverage prompt structures and context vulnerabilities to trick LLMs into generating restricted or harmful content. These breaches can expose sensitive data, disrupt trusted workflows, and escalate AI security risks.

Understanding these threats is essential for securing AI deployments. Knowledge is the first line of defense. Click below to learn how jailbreaking works and why staying vigilant is critical.

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