Why zkML? Because @Intuit just introduced agentic AI across its Credit Karma and TurboTax platforms.
AI isn’t just assisting anymore — it’s making decisions about credit, taxes, and finances on your behalf.
When AI handles your money, how do we verify it’s acting as intended?
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Agentic transactions change everything.
It’s no longer just “buyer vs seller” — now there’s a model in the middle making decisions.
Fraud risk becomes bidirectional: the AI could be tricked, or the merchant could be fake.
Verification alone isn’t enough — we need proof.
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zkML ensures verifiable financial decisions:
- Proof the AI followed the intended financial strategy
- Proof no unauthorized logic influenced decisions
- Without exposing proprietary models or customer data
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Imagine financial services where:
✅ Every AI-driven decision includes a cryptographic execution trace
✅Users and regulators can audit AI behavior without inspecting personal data
✅ Credit, tax, and wealth decisions are verifiable at scale
zkML makes financial automation auditable and accountable.
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AI is already managing finances.
zkML ensures it does so transparently and verifiably.
That’s what @PolyhedraZK is building: zkML for a world where financial decisions are proven, not assumed.
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