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Solana Targets Institutional Adoption With New Privacy Framework
The Solana Foundation has introduced a new privacy-focused framework aimed at attracting institutional users, arguing that enterprise adoption depends on flexible control over data visibility. In its latest report, the organization outlined how businesses require the ability to determine what information is shared and with whom, rather than relying solely on fully transparent systems.

The Solana Foundation has introduced a new privacy-focused framework aimed at attracting institutional users, arguing that enterprise adoption depends on flexible control over data visibility. In its latest report, the organization outlined how businesses require the ability to determine what information is shared and with whom, rather than relying solely on fully transparent systems.
Traditional public blockchains rely on pseudonymity, where wallet addresses mask identities but transaction details remain visible. The report noted that this structure may not meet the needs of financial institutions or companies handling sensitive operations such as payroll or risk management.
Four Privacy Modes Designed for Institutional Needs
The framework introduces four privacy modes designed to meet varying operational requirements. These include pseudonymity, confidentiality, anonymity and fully private systems.
Confidentiality allows participants to remain identifiable while encrypting sensitive data such as balances and transaction values. Anonymity hides participant identities while maintaining visible transaction activity. Fully private systems use advanced tools such as zero-knowledge proofs and multiparty computation to protect both identity and transaction details.
The foundation emphasized that these privacy options can be combined, allowing businesses to customize protection levels based on specific compliance or operational needs.
High-Speed Infrastructure Supports Advanced Privacy Tools
The report highlighted network performance as a major advantage, stating that high throughput and low latency make advanced privacy techniques practical at scale. These capabilities could support use cases such as encrypted trading systems, private credit assessments and secure data sharing between institutions.
The framework also includes features designed to support regulatory compliance, such as designated auditor access and systems that allow verification of compliance status without revealing sensitive personal information.
Disclaimer
This content is for informational purposes only and does not constitute financial, investment, or legal advice. Cryptocurrency trading involves risk and may result in financial loss.
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Disclaimer
This content is for informational purposes only and does not constitute financial, investment, or legal advice. Cryptocurrency trading involves risk and may result in financial loss.
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About the author

8+ years covering crypto markets, macro, and geopolitics. Previously at Decrypt and CoinDesk. Focused on the intersection of digital assets and traditional finance.
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