As AI agents begin to operate directly on blockchain networks, a long-standing assumption in cryptocurrency is being challenged: that maximum transparency always enhances security. In a recent interview with Ecoinimist, Aleo's Global Policy Lead Yaya Fanusie argued that fully transparent blockchains could become increasingly vulnerable as autonomous software and institutional capital go on-chain. According to Fanusie, public transaction data makes it easier for attackers (including state-sponsored actors) to analyze activities, identify high-value targets, and plan complex attacks. Once a large amount of institutional assets enter the picture, this risk significantly increases. In personally driven ecosystems, manageable situations become more dangerous when treasuries, tokenized securities, and automated financial agents participate. Fanusie warned that widespread transparency could create incentives for hackers, surveillance, and economic interference. He believes that rather than viewing privacy as an optional add-on, future blockchain infrastructure needs to have default built-in confidentiality—especially if AI agents will manage wallets, execute transactions, and autonomously interact with financial systems. As the industry moves toward regulated on-chain finance and smart automation, the debate over privacy and transparency could determine which networks are viable in the next phase of crypto adoption.
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$ALEO When transparency becomes the goal
As AI agents begin to operate directly on blockchain networks, a long-standing assumption in cryptocurrency is being challenged: that maximum transparency always enhances security.
In a recent interview with Ecoinimist, Aleo's Global Policy Lead Yaya Fanusie argued that fully transparent blockchains could become increasingly vulnerable as autonomous software and institutional capital go on-chain. According to Fanusie, public transaction data makes it easier for attackers (including state-sponsored actors) to analyze activities, identify high-value targets, and plan complex attacks.
Once a large amount of institutional assets enter the picture, this risk significantly increases. In personally driven ecosystems, manageable situations become more dangerous when treasuries, tokenized securities, and automated financial agents participate. Fanusie warned that widespread transparency could create incentives for hackers, surveillance, and economic interference.
He believes that rather than viewing privacy as an optional add-on, future blockchain infrastructure needs to have default built-in confidentiality—especially if AI agents will manage wallets, execute transactions, and autonomously interact with financial systems.
As the industry moves toward regulated on-chain finance and smart automation, the debate over privacy and transparency could determine which networks are viable in the next phase of crypto adoption.