India AI Taskforce is advancing a national unified dataset sensitivity scoring model ahead of the Union Budget cycle to standardise classification of public and government datasets. The proposed framework maps risk scoring to inference leakage pathways, data exposure classes, and downstream misuse vectors. Policymakers want this to enforce cross-ministry harmonisation as compute access expands and public model experimentation scales. Builders and investors would gain predictable procurement baselines, reducing compliance ambiguity. The initiative signals the next monetisation cycle emerging around defensible classification architecture rather than pure training scale economics.