A mid-sized financial institution exchanges sensitive data hundreds of thousands of times a day: KYC files to counterparties, positions to clearinghouses, exposures to regulators, transaction records to correspondent banks. Each exchange works, and each one deposits a readable copy of regulated data inside another organization's infrastructure, where

When people evaluate the security of a digital asset exchange, they usually mean custody: cold storage ratios, proof of reserves, withdrawal controls. Those questions matter, and the industry learned their importance the hard way. But custody is only the first exposure. The second gets far less scrutiny: on a transparent

In March 2026, Google published research demonstrating that the quantum resources required to compromise Bitcoin's ECDSA encryption were approximately 20 times lower than the prior estimate. The paper didn't claim quantum computers can break Bitcoin today. It demonstrated that the timeline is materially shorter than the

The word "private" in blockchain has been applied to at least three different things: private transactions, private chains, and private by design. Only one of them is private in the way enterprise data requirements demand. What Private Transactions Give You, and Where They Fall Short Zero-knowledge rollups

The word gets used loosely. In IronWeave's context, "unscannable" means something specific: a transaction on the IronWeave fabric is visible to exactly the parties who hold the keys to it and no one else. The network nodes that validate the transaction never see what the transaction

The payment layer for AI agents is largely solved. Stablecoins, particularly USDC and USDT, provide a programmable, censorship-resistant, 24/7 settlement mechanism that agents can execute autonomously. An agent can authorize a payment. The blockchain validates and settles it. No human has to approve the transaction. The data layer

AI agents can share data within a single organization with the same access controls any enterprise system uses. The moment a multi-agent workflow crosses an organizational boundary, a different category of problem appears. The data multi-agent systems need to exchange includes proprietary model weights, customer records, financial position