I've watched enough fintech products misuse the word secure to treat it as marketing language until proven otherwise.
In financial applications, an AI making a wrong call isn't a minor bug. It's a trade executed badly, a risk model miscalibrated, a decision nobody can audit after the fact. OpenGradient's pitch is that verifiable inference, proof that a model ran correctly on the inputs it claims, gives financial applications an audit trail that black box AI never had.
That solves accountability. It doesn't solve correctness. A verified computation can still be a bad model making a confidently wrong prediction with cryptographic proof attached.
Verification tells you the math happened honestly. It says nothing about whether the math was worth trusting in the first place.