Much of today’s conversation surrounding artificial intelligence (AI) centers on the models themselves. Organizations worry about prompt injection, model theft, jailbreaks, insider threats, and the growing sophistication of AI-enabled cyberattacks. While these are legitimate concerns deserving attention, there may be a more consequential risk beneath the model itself – the integrity of the information that…
