xEdgeNode: Edge AI Model Protection

The Problem

80% of AI inference is moving to edge devices, but each edge deployment creates a complete copy of the model that can be extracted or reverse-engineered.

Edge AI models represent millions of dollars in training investment. Physical access to edge devices makes model extraction trivial. Current protection relies on obfuscation that is routinely defeated.

TEE-based protection is hardware-dependent and unavailable on most edge devices. A universal, hardware-agnostic solution is needed for the heterogeneous edge computing landscape.

The Old Way

The PRIVATE.ME Solution

xEdgeNode splits model weights via XorIDA across edge nodes. No single node holds a complete model. Inference requires threshold reconstruction from cooperating nodes.

Model weights are XorIDA-split into K-of-N shares distributed to edge nodes. Each node holds one share that reveals zero information about the model. Inference requires K nodes to cooperate and reconstruct the relevant layers in memory.

xBoot verifies the integrity of each node’s share before reconstruction. HMAC-signed manifests detect any tampering. DID identity authenticates every edge node.

The New Way

How It Works

xEdgeNode combines XorIDA model splitting with xBoot integrity verification and threshold reconstruction for hardware-agnostic edge AI protection.

Use Cases

Integration

import { EdgeModelGuard } from '@private.me/xedgenode';

const guard = await EdgeModelGuard.create({
  modelPath: './model.bin',
  edgeNodes: [nodeA, nodeB, nodeC],
  threshold: { k: 2, n: 3 }
});
await guard.deploy();

Security Properties

Verifiable Data Protection

Every operation in this ACI produces a verifiable audit trail via xProve. HMAC-chained integrity proofs let auditors confirm that data was split, stored, and reconstructed correctly — without accessing the data itself.

Ready to deploy xEdgeNode?

Talk to Ren, our AI sales engineer, or book a live demo with our team.

Ship Proofs, Not Source

xEdgenode generates cryptographic proofs of correct execution without exposing proprietary algorithms. Verify integrity using zero-knowledge proofs — no source code required.

Use Cases