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Google to launch crypto custody security system using MPC in early 2027

Google announced a multi‑party compute (MPC) crypto custody system that is currently in private preview with several major financial institutions testing it. The service splits private keys into fragments that are stored in separate environments – for example, a bank keeps one share on its own hardware, another on Google Cloud, and a third with a different provider. Google says it cannot access…

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Key points

  • Google is previewing an MPC‑based crypto custody system for banks, with commercial rollout slated for early 2027.
  • The system fragments private keys across separate environments, ensuring Google cannot read them in unencrypted form.
  • Researchers and Vitalik Buterin warn AI‑accelerated math could threaten lattice‑based cryptography within two years, with about 6.9 million Bitcoin exposed.

The launch comes amid growing concerns that AI‑driven tools and future quantum computers could undermine current cryptographic safeguards. Researchers recently uncovered a bug in the XRP Ledger, and Ethereum co‑founder Vitalik Buterin warned that AI‑accelerated mathematics could weaken lattice‑based cryptography within two years. Roughly 6.9 million Bitcoin are considered potentially vulnerable because their public keys are exposed. Google positions its MPC system as a defense against both sophisticated cyber‑attacks and emerging AI and quantum threats.

Full story from finance.yahoo.com · by Varinder Singh · via Search: GoogleOpen source ↗

Google to Launch Crypto Custody Security System as AI & Quantum Threats Grow

finance.yahoo.com · 28 October 2026

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This text was published by finance.yahoo.com and written by Varinder Singh. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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