Enterprise AI must be more than promises.With zkML, Microsoft’s AI assistants can offer verifiable trust — alignment between what’s deployed and what’s certified. ...

Enter zkML + Polyhedra:• Proofs that the exact Copilot model running is the one that passed compliance review.• Transparent upgrades — every new release can be verified.• Privacy intact — enterprises never leak raw data or weights, only proofs. ...

We’re excited to share that Polyhedra has joined the @NVIDIA Developer Program.This gives our team access to cutting-edge SDKs, APIs, and performance tools — accelerating our work in zkML, zkPyTorch, and verifiable AI at scale.Another step forward in building the infrastructure for a safer, provable AI future. ...

What zkML + Polyhedra i-D add to instant checkout:• Model + runtime attestation.• Verifiable tool calls (no hidden params).• Policy proofs on spend & merchants.• Privacy-safe liveness check before funds move. ...

Cars are becoming rolling AI supercomputers.With zkML, we don’t just take Tesla’s word — we get verifiable alignment between AI behavior, safety claims, and public trust.That’s how we drive into the future. ...

Enter zkML + Polyhedra:• Cryptographic proofs that the exact driving model in use is the one that passed validation.• Transparent updates — every new version can be verified against what was promised.• Privacy preserved — no need to reveal raw weights, just the proof of compliance. ...

Cars are becoming rolling AI supercomputers.With zkML, we don’t just take Tesla’s word — we get verifiable alignment between AI behavior, safety claims, and public trust.That’s how we drive into the future. ...

Enter zkML + Polyhedra:• Cryptographic proofs that the exact driving model in use is the one that passed validation.• Transparent updates — every new version can be verified against what was promised.• Privacy preserved — no need to reveal raw weights, just the proof of compliance. ...

Scheming may be a future risk.But with zkML, verifiable alignment can be built in from the start.That’s what Polyhedra is building: Verifiable AI for the real world – with transparency, accountability, and trust baked in. ...

zkML (Zero-Knowledge Machine Learning) Benefits - Cryptographic proofs ensure model behavior aligns with declared safety rules, enhancing transparency and accountability [1] - Eliminates black-box trust by providing transparency without exposing sensitive data or inner logic [1] - Enables auditing of updates to confirm deployed version matches promised specifications [1] Polyhedra's Role - Integrates with zkML to provide cryptographic proofs [1] - Facilitates transparency without data exposure [1] - Supports verifiable model updates [1]