Microsoft unveils Vega: private identity verification through zero-knowledge proofs

Microsoft has unveiled Vega, an algorithm based on zero-knowledge proofs for secure identification. The system turns a full set of credentials into a single proof, disclosing only the information that is needed. Vega runs in real-world applications with solid performance.

AI-processed from Microsoft Research; edited by Hamidun News
Microsoft unveils Vega: private identity verification through zero-knowledge proofs
Source: Microsoft Research. Collage: Hamidun News.
Listen to article
Article Fact Sheet & Key Figures
ParameterDetails
Primary sourceMicrosoft Research ↗
Editor-in-Chief
Key metric #1Online payments (proving solvency without handing over bank details)
Key metric #2Age and status checks when accessing services
Key metric #3Credit checks (confirming credit history without the details)

Microsoft Research has unveiled Vega, a new approach to digital identity built on zero-knowledge proofs. The system lets you prove who you are without exposing your personal data.

How Vega works

Vega converts a full set of credentials into a single cryptographic proof. Instead of handing over a passport, a card number or other documents, you send only proof that you hold that data. The system can support selective disclosure: for example, you can prove you are over 18 without giving your exact date of birth.

Microsoft Research's main achievement is performance. Unlike many academic ZK solutions, Vega runs at real-world speed in real applications. This is not an experimental prototype but a practical tool, ready for use in commercial systems.

The algorithm works like this: you create a proof once, then reuse it many times to interact with different services. The proof is compact and quick to verify, and it reveals nothing about the underlying data.

Why this matters in the AI era

Digital identity systems are increasingly targeted by attacks. At the same time, concern is growing about how AI systems use personal data. Every transfer of a passport scan, phone number or payment history risks a leak, at a time when neural networks may use that data in uncontrolled ways.

Vega resolves this paradox: you prove your identity without revealing the data itself. This is especially important for:

  • Online payments (proving solvency without handing over bank details)
  • Age and status checks when accessing services
  • Credit checks (confirming credit history without the details)
  • Private interaction with AI services that need to verify a user's rights

The problem today is that systems often demand all the data at once, even when only part of it is needed. Vega lets you send only what a specific operation requires.

Where this is heading

Microsoft positions Vega as a foundation for future identity systems that balance security, privacy and convenience. The research supports a broader trend: cryptographic solutions are gradually moving from academia into practice thanks to performance improvements.

What this means

Digital identity is entering a new stage. Instead of fully trusting platforms with our data, we can selectively prove only what is required. This shrinks the attack surface and returns control over information to the user.

For businesses, this means being able to verify customers and users more securely, without having to store their personal data.

Story

Key Questions Answered

How Vega works?

Vega converts a full set of credentials into a single cryptographic proof. Instead of handing over a passport, a card number or other documents, you send only proof that you hold that data. The system can support selective disclosure: for example, you can prove you are over 18 without giving your exact date of birth. Microsoft Research's main achievement is performance. Unlike many academic ZK solutions, Vega runs at real-world speed in real applications. This is not an experimental prototype but a practical tool, ready for use in commercial systems. The algorithm works lik

Why this matters in the AI era?

Digital identity systems are increasingly targeted by attacks. At the same time, concern is growing about how AI systems use personal data. Every transfer of a passport scan, phone number or payment history risks a leak, at a time when neural networks may use that data in uncontrolled ways. Vega resolves this paradox: you prove your identity without revealing the data itself. This is especially important for: Online payments (proving solvency without handing over bank details) Age and status checks when accessing services Credit checks (confirming credit history without the

Where this is heading?

Microsoft positions Vega as a foundation for future identity systems that balance security, privacy and convenience. The research supports a broader trend: cryptographic solutions are gradually moving from academia into practice thanks to performance improvements.

ZK
Zhemal Khamidun — CPO at Alpina Digital, product manager of AlpinaGPT. Building AI products since 2019. Hamidun News is a pet project that grew into a production aggregator with 6,000+ readers.
✦ Unified AI Workspace · Nomad

Test Frontier LLMs & Autonomous Agents in One Workspace

Run Claude Opus 5.5, GPT-6, Gemini 3.1, and DeepSeek side-by-side in Nomad AI (nomadnet.ai) — unified model routing, deep research, and multimodal workflows under one subscription.

Try Nomad AI →Launch Nomad Agent
What do you think?
Loading comments…