Vega: Zero-knowledge proofs for digital identity in the age of AI
Vega introduces a method for users to prove aspects of their government-issued credentials without revealing the credentials themselves. Utilizing zero-knowledge proofs, the system allows for quick and private identity verification, addressing the growing need for secure digital identity in an AI-driven world. As governments formalize digital identity frameworks, Vega aims to provide a practical solution that enhances user privacy and trust.
- ▪Vega allows users to prove facts from credentials without revealing the credential itself.
- ▪Zero-knowledge proofs can be generated in under 100 ms on standard devices.
- ▪The system targets real-world formats like mobile driver’s licenses and the EU Digital Identity Wallet.
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| Original publisher | Microsoft Research |
| Canonical URL | https://www.microsoft.com/en-us/research/blog/vega-zero-knowledge-proofs-for-digital-identity-in-the-age-of-ai/ |
| Publication time | Thu, 21 May 2026 13:48:40 +0000 |
| Retrieval time | 2026-05-21T13:51:11.077Z |
| Last seen | 2026-05-21T13:51:11.077Z |
| Headline source | Publisher (no WeSearch rewrite) |
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| Publisher visit | Yes — open original |
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| Commercial reuse | May the content be reused commercially? | Not permitted |
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Vega: Zero-knowledge proofs for digital identity in the age of AI Published May 21, 2026 Share this page Share on Facebook Share on X Share on LinkedIn Share on Reddit Subscribe to our RSS feed At a glance Vega lets users prove facts from government-issued credentials — age, personhood, professional status — without revealing the credential itself. The credential never leaves the device. Zero-knowledge proofs are generated in under 100 ms on a commodity client device with no trusted setup, making private identity verification practical at scale. Fold-and-reuse proving means repeated presentations — to different services or through AI agents — skip most of the expensive work after the first proof.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Microsoft Research.
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