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Foundation targets institutions with new privacy framework

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Foundation targets institutions with new privacy framework

The Solana Foundation is making a new pitch to large institutions: privacy as a customizable feature, not a trade-off.

In a report released on Monday by the foundation, Privacy on Solana: A Full-Spectrum Approach for the Modern Enterprise,” the organization argued that the next phase of crypto adoption will depend less on transparency alone and more on giving companies control over what they reveal — and to whom.

The framing marks a shift from crypto’s early ethos. Public blockchains have traditionally emphasized openness, where transactions are visible and traceable, even if users are represented only by wallet addresses. The report acknowledged that this “pseudonymity” model, while foundational, falls short for many real-world use cases. Financial institutions, for example, may need to prove transactions occurred without exposing counterparties, while companies processing payroll must avoid broadcasting employee salaries.

Underlying the pitch is a technical claim: that Solana’s speed makes advanced privacy techniques practical. The team argued that the network’s high throughput and low latency allow these methods to run at near-web speeds, opening the door to use cases such as encrypted order books or private credit risk calculations.

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But rather than offering a single solution for privacy, the foundation presented privacy as a spectrum composed of four distinct modes: pseudonymity, confidentiality, anonymity and fully private systems.

At the base level, pseudonymity keeps identities obscured behind wallet addresses while leaving transaction data visible. Moving along the spectrum, confidentiality allows participants to be known while encrypting sensitive information like balances and transfer amounts.

Anonymity flips that dynamic, hiding the identities of participants while allowing transaction data to remain visible. At the far end are fully private systems, where both identities and transaction data are shielded through techniques like zero-knowledge proofs and multiparty computation.

The message is that no single privacy model fits all. “For enterprises, privacy is a spectrum, not a switch,” the report said.

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What Solana is trying to do is bring all of these privacy options into one system. Instead of choosing just one approach, companies can mix and match tools — like hiding transaction amounts, proving something is valid without revealing details, or controlling who can access certain data — depending on what they need.

In practice, that could mean executing trades without revealing order size, sharing risk data across banks without exposing individual balance sheets, or allowing users to prove compliance without disclosing personal information.

The report leans heavily on the idea that privacy and regulation can coexist. The team pointed to mechanisms like “auditor keys,” which enable designated parties to decrypt transactions when required. Other systems would allow wallets to demonstrate compliance status without revealing identity. These features are framed as a response to growing regulatory scrutiny, particularly around anti-money laundering rules and financial surveillance.

“Privacy is a market requirement,” the report said. “Customers expect it and applications require it. On Solana, you choose your privacy level, from encrypted balances to zero-knowledge anonymity to multiparty confidential computing. Each level maps to a compliance path, and each is composable with the broader ecosystem.”

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Read more: Solana Foundation’s Liu: Focus on finance, not gaming ‘misadventures’

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Crypto World

Stripe Protocol Could Revive Micropayments With AI Agents: Forrester

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Stripe Protocol Could Revive Micropayments With AI Agents: Forrester

Stripe’s newly launched Machine Payments Protocol (MPP) could mark a turning point for micropayments — a long-promised but underutilized use case in crypto and beyond — as AI agents reshape how transactions are made.

That’s the key takeaway from newly published analysis by Forrester senior analyst Meng Liu, who argues that MPP may succeed where decades of earlier efforts failed.

Introduced earlier this month, MPP enables AI agents to execute transactions automatically, removing the need for human approval at each step. It is described as an open protocol for coordinating payments between AI agents and services. Liu frames this as a structural shift from human-initiated payments to machine-to-machine transactions.

Micropayments, which are typically small transactions worth a few cents or dollars, have long been seen as a way to monetize digital content, services and data, but have struggled to gain traction at scale.

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A major barrier to adoption has been human behavior, including cumbersome digital checkout processes and reluctance to approve small charges, Liu said.

By contrast, AI agents executing payments as part of task completion, such as paying to access data or use online services, eliminate those constraints.

“Payment becomes a programmatic step, not a discrete decision,” Liu wrote. “There’s no checkout moment, no cart abandonment risk, and no mental transaction cost.”

Liu describes the history of micropayments as a “graveyard” of failed attempts, largely due to behavioral constraints. Source: Forrester

Importantly, MPP is not a new settlement network. Instead, it acts as a coordination layer for automated payments, designed to work across existing infrastructure, including traditional rails, digital wallets and, where supported, crypto rails.

Related: AI agent payment volumes lower than reported, but adoption is growing: a16z

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AI payments push extends beyond Stripe

Stripe is a payments company that has expanded into digital assets, including support for stablecoins, crypto on-ramps and blockchain-based payment tools. While MPP itself is not inherently blockchain-based, other companies are also developing infrastructure for AI-driven payments, particularly in areas such as micropayments and autonomous transactions.

One recent example is MoonPay, which released an open-source wallet standard designed for AI agents. The framework allows agents to hold, send and receive digital assets, enabling them to transact independently without human intervention.

Meanwhile, analysts at Bernstein believe AI agents could boost demand for stablecoins, as they are well-suited for handling frequent, low-value payments. Like Forrester’s Liu, Bernstein also pointed to Coinbase’s x402 protocol, which enables automatic internet payments between machines.

Total adjusted stablecoin transaction volumes have reached $3.9 trillion so far this year. Source: Bernstein

Related: Crypto Biz: Institutions aren’t waiting for the bottom