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Crypto Market Analysis

Zama integrates with Apex-backed T-REX for private tokenized assets

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Da Anonimo

Creato March 24, 2026|2 minuti di lettura
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Cryptography startup Zama is plugging its privacy tech into T‑REX in a bid to let banks and asset managers trade sensitive assets on public blockchains without losing confidentiality.

French cryptography startup Zama is integrating its protocol with Apex-backed T-REX Ledger to add a confidentiality layer for ERC-3643-based tokenized assets, a standard that lets issuers embed identity checks and transfer restrictions into tokenized securities.

Zama, which raised $73 million in Series A funding in 2024 to commercialize fully homomorphic encryption (FHE), said the integration is aimed at making confidentiality a built-in part of tokenized asset infrastructure rather than an add-on layered over existing systems.

The companies said the integration would allow regulated institutions to use public blockchain infrastructure without exposing sensitive positions and transaction data, a sticking point that has slowed broader institutional use of public networks for regulated assets.

The announcement lands amid a wider industry debate over how institutions should handle privacy onchain, with zero-knowledge systems, permissioned networks and FHE all competing to become part of the tokenization stack.

Related: T-REX Ledger launches to ease compliance for tokenized assets

Zama founder Rand Hindi told Cointelegraph that institutions using T-REX would be able to “shield” existing positions by wrapping ERC-3643 tokens into confidential equivalents, preserving balances 1:1 while encrypting future transfers and resulting balances end-to-end. 

Zama described T-REX Ledger as a neutral infrastructure layer built around ERC-3643, where identity and rules-based compliance sit in smart contracts and underlying Know Your Customer data stays offchain, enabling issuers to keep parameters such as interest rates, withholding taxes or liquidation thresholds confidential on public rails. 

Hindi argued that this removed the traditional “trade off” between regulatory compliance and confidentiality by pushing both into shared, programmable infrastructure rather than separate silos.

The integration comes as infrastructure providers debate how institutions should handle privacy and interoperability onchain.

Matter Labs CEO Alex Gluchowski told Cointelegraph that zero-knowledge systems like zkSync’s Prividium were “the only way” that enterprises could “achieve real privacy and onchain interoperability,” particularly when they want private environments that can still settle atomically via Ethereum and other ZK domains.

He said that ZK proofs were designed to let institutions prove transactions were valid without revealing the underlying data, while anchoring security to Ethereum’s base layer.

Related: Moody’s brings credit ratings onchain with Canton Network integration

Digital Asset co-founder Shaul Kfir disputed that ZK was necessary for most real-world assets and said Canton’s permissioned architecture already combined privacy and interoperability without requiring every participant to validate every transaction.

Kfir insisted that cryptographic guarantees could not “substitute for legal enforceability,” pointing to onchain hacks as evidence that institutional systems still relied on legal frameworks to resolve disputes over user intent.

Hindi positioned FHE as complementary to both approaches, claiming it solved the “shared state problem that limits both ZK and Canton” by allowing the network to run shared computations over encrypted data from many users at once, instead of hiding data by not sharing it or relying on each user to prove their own state.

That, he argued, made it possible to implement workflows such as confidential, compliant decentralized finance primitives or daily threshold checks for regulators on public infrastructure, with a few seconds of extra latency for encryption and decryption but no change to T-REX’s underlying throughput or public chain composability.

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Source: CoinTelegraph


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