Source: DcB
The vulnerability in enterprise AI isn't data exfiltration—it's the theft of proprietary reasoning patterns and decision logic embedded in models themselves. As organizations deploy AI systems trained on their workflows and competitive advantages, they face model extraction attacks that can reverse-engineer their institutional knowledge, which is harder to replace or legally protect than raw datasets. Competitors can replicate your data governance, but stealing your model's decision-making logic replicates your strategic thinking.