Tech

NEAR Protocol Confirms Verifiable Private Inference for AI

Published

1 month ago

July 11, 2026

NEAR Protocol has detailed a new technical approach to AI execution, confirming that NEAR AI now utilizes secure hardware enclaves to provide verifiable private inference. The system is designed to return hardware-signed proofs that verify the specific model used, the data processed, and the execution itself, addressing growing concerns over data sovereignty and the limitations of closed AI models.

The development shifts the trust model from contractual agreements to cryptographic and hardware-level certainty. By running AI agents within a user-owned stack, NEAR aims to provide a structural alternative to centralized AI providers, particularly in light of increasing export controls and data privacy restrictions.

Secure Enclaves and Hardware Proofs

At the core of this update is the use of Trusted Execution Environments (TEEs), such as Intel TDX and confidential GPUs. According to official NEAR AI documentation, these secure enclaves allow inference to run in an isolated environment where memory is encrypted at the CPU level. This prevents host operators, hypervisors, or unauthorized third parties from accessing the data being processed.

AI sovereignty wasn’t a hot topic, but NEAR’s been building for it for years. Then export bans and government equity stakes changed the conversation fast.

NEAR AI already runs a user-owned stack, and IronClaw secures the agent layer.

Sovereignty you can verify. https://t.co/69SHawbBQA pic.twitter.com/TbVtk7PNBY

— NEAR Protocol (@NEARProtocol) July 9, 2026

The system generates a cryptographic “attestation” or hardware-signed certificate. This proof allows users or third parties to verify that the workload ran exactly as intended without being modified. The NEAR Protocol official account noted that the IronClaw security layer is used to protect the agent level, ensuring that users maintain sovereignty over their data and model interactions.

Addressing Data Sovereignty

The move toward verifiable inference comes as a response to the “closed” nature of frontier AI models. In typical cloud-based AI interactions, users must rely on the provider’s contractual promise that data is not being stored or used for training. NEAR’s implementation replaces this reliance on trust with “structural assurances,” where the silicon itself proves the security of the environment.

This approach is particularly relevant for:

Export Controls: Providing verifiable proof of hardware and execution locations.
Sensitive Workloads: Allowing institutions to run models on rented cloud compute without exposing proprietary data to the cloud provider.
Model Integrity: Ensuring that the specific version of an AI model requested is the one actually performing the task.

Status and Integration

While the technical framework for private inference and hardware attestation is now officially documented and confirmed, specific adoption metrics remain pending. The available sources do not yet provide data on total usage numbers or a comprehensive list of third-party integrations launched within the last 48 hours. The current focus remains on the deployment of human-owned AI stacks that leverage these secure hardware proofs to bypass centralized bottlenecks.

The post NEAR Protocol Confirms Verifiable Private Inference for AI appeared first on The Cryptocurrency Post.

Tech

Aptos launches Confidential APT with encrypted balances on mainnet

Published

2 weeks ago

August 6, 2026

Ryan Halley

Aptos said Confidential APT is now live on mainnet, bringing opt-in encrypted balances to the network while keeping wallet addresses visible. The feature is positioned for compliant use cases including payroll, treasury and business-to-business settlement.https://twitter.com/Aptos/status/2084481961553445096

The Aptos account said transactions are verified with zero-knowledge proofs, allowing the network to confirm that transfers are valid without exposing the underlying amounts. The update is meant for users who want confidentiality for specific transfers rather than full anonymity across the network.

A separate governance page tied to the rollout shows the proposal as executed, matching Aptos’ public statement that the feature has been enabled on mainnet. The material linked from that page describes Confidential APT as part of Aptos’ on-chain privacy features.

How the feature is framed on Aptos

According to Aptos, Confidential APT is opt-in, so users can still use standard transparent transfers if they prefer. The company’s framing focuses on enterprise and institutional settings where transaction amounts may need to be hidden while counterparties remain identifiable.

The launch adds a privacy layer at the transaction level, but it does not by itself indicate broader usage or adoption. It does, however, give Aptos a live mainnet mechanism for hiding balances on selected transfers.

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Tech

NEAR says Machine Payments Protocol now uses NEAR Intents for agent settlements

Published

2 weeks ago

August 6, 2026

Ryan Halley

NEAR Protocol said the Machine Payments Protocol (MPP) from Stripe and Tempo now integrates with NEAR Intents, allowing agents on MPP to settle across more than 30 chains using NEAR infrastructure.

The Machine Payments Protocol (@mpp), the agent payment protocol from @Stripe and @Tempo, now leverages NEAR Intents.

This enables any agent on MPP to settle across 30+ chains using NEAR infrastructure, paving the way for global agentic transaction volume to flow across NEAR. pic.twitter.com/8dQ6nZc5Qw

— NEAR Protocol (@NEARProtocol) August 4, 2026

The update was shared by NEAR Protocol on X, where the team described the integration as live and pointed readers to public SDK and documentation for the payment method. The announcement frames NEAR Intents as part of the settlement layer for agent payments rather than as a standalone consumer product.

Settlement across multiple chains

According to the post, the integration gives any agent using MPP a way to settle payments across 30-plus chains. The announcement did not add further technical detail in the post itself, but it did direct users to the public documentation for the NEAR payment method.

MPP, or Machine Payments Protocol, is designed for programmatic payments between software agents and services. In this case, NEAR is presenting Intents as the mechanism that helps route those settlements across chains through its infrastructure.

The timing and scope of the change were stated by NEAR Protocol itself, which makes the integration the central confirmed development. The announcement did not include a broader rollout timeline, usage data or terms for availability beyond the public SDK and docs link.

What NEAR is highlighting

The key change is not a new token feature or a market-facing launch, but a payment-routing integration aimed at agent settlements. That places NEAR Intents inside an emerging category of machine-to-machine payment infrastructure, where the practical value depends on whether developers adopt it for real transactions.

For now, the confirmed claim is narrower: NEAR says MPP can now use its Intents system for cross-chain settlement, and the public documentation is available for developers who want to build around it.

The post NEAR says Machine Payments Protocol now uses NEAR Intents for agent settlements appeared first on The Cryptocurrency Post.

Tech

NEAR AI says IronClaw 1.0 is now deployed as part of July shipments

Published

2 weeks ago

August 4, 2026

Ryan Halley

NEAR Protocol said its July shipments included NEAR staking for NEAR AI compute going live and the launch of IronClaw 1.0 on mainnet, marking a new step in the project’s AI and agent-related rollout. In a blog post announcing IronClaw 1.0, NEAR AI said the release is deployed across NEAR Foundation and NEAR AI.

The official recap also grouped the updates with broader AI and agent infrastructure changes, suggesting the deployments were part of a wider set of July deliveries rather than a standalone launch. That framing matters for readers tracking the project’s product pace: the post presents staking and IronClaw as live components, not as plans or test-stage features.

What NEAR said changed

According to the recap shared by NEAR Protocol, NEAR staking for NEAR AI compute is now live. The same update says IronClaw 1.0 has launched on mainnet, adding an additional deployment milestone to the project’s AI stack.

A separate post from a member of the project community also pointed to staking mechanics for NEAR AI compute and IronClaw hosting, but the clearest public confirmation in the material comes from NEAR’s own recap and the IronClaw 1.0 announcement.

The available information does not spell out all operational details of the deployments in one place, but it does make one thing clear: NEAR is presenting both the compute staking component and IronClaw 1.0 as active releases rather than future roadmap items.

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