xPulse: Robotic Surgery Command Integrity
XorIDA splits each surgical command across independent verification nodes. Reconstruction requires threshold consensus before the robot executes any movement.
The Problem
Robotic surgery systems have single points of failure. A compromised controller can issue harmful commands with no independent verification layer.
Modern surgical robots like the Da Vinci system execute movements based on commands from a single controller. If that controller is compromised -- through a software bug, a cyberattack, or a hardware fault -- it can issue commands that cause patient harm. There is no independent verification that the command is safe before the robot acts.
As remote and autonomous surgery capabilities expand, the attack surface grows. A network-connected surgical robot is a safety-critical system that currently relies on single-point trust. One compromised node can override all safety checks.
The Old Way
The PRIVATE.ME Solution
XorIDA splits each surgical command across independent verification nodes. The robot only executes when threshold consensus confirms the command is valid and safe.
Every command from the surgeon's console is split into N shares and distributed to independent verification nodes. Each node independently validates the command against safety parameters, boundary checks, and patient-specific constraints. Only when K nodes return valid shares can the command be reconstructed and sent to the robot.
This creates a multi-party verification layer that no single compromised node can bypass. A malicious command injected at any single point is detected because it cannot produce valid shares at the other verification nodes.
The New Way
How It Works
Every surgical command passes through a multi-stage verification pipeline before robot execution. No single node can authorize a command alone.
Use Cases
Add multi-party command verification to robotic surgical systems. Every movement command validated by independent nodes before the robot acts.
Patient SafetyVerify commands transmitted over networks for remote surgery. Threshold consensus prevents network-injected malicious commands from reaching the robot.
Remote OperationsCreate tamper-proof audit trails of every surgical command. Each verifier independently logs its share, providing multi-source forensic evidence.
Audit TrailConfigurable emergency override requires elevated threshold consensus. Emergency stops bypass normal flow but are independently verified and logged.
Safety CriticalIntegration
import { verifyCommand, splitSurgicalOp } from '@private.me/surgisplit'; // Split surgical command across 3 verifiers (2-of-3) const shares = await splitSurgicalOp(moveCommand, { verifiers: ['primary', 'secondary', 'safety'], k: 2 }); // Verify and reconstruct with threshold consensus const result = await verifyCommand(moveCommand, { verifiers: ['primary', 'safety'], k: 2 }); // result.ok === true → safe to execute
Security Properties
| Property | Mechanism | Guarantee |
|---|---|---|
| Threshold Consensus | K-of-N independent verification | No single node can authorize robot execution |
| Boundary Validation | Per-verifier safety constraint check | Out-of-bounds commands rejected before consensus |
| Tamper Detection | Per-share HMAC-SHA256 | Command integrity verified at every node |
| Fail-Safe Default | Consensus-gated execution | Robot does not move if threshold not met |
| Forensic Logging | Multi-source independent audit logs | Tamper-proof evidence from N independent nodes |
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.
Read the xProve white paper →
Ready to deploy xPulse?
Talk to Ren, our AI sales engineer, or book a live demo with our team.
Ship Proofs, Not Source
xPulse generates cryptographic proofs of correct execution without exposing proprietary algorithms. Verify integrity using zero-knowledge proofs — no source code required.
- Tier 1 HMAC (~0.7KB)
- Tier 2 Commit-Reveal (~0.5KB)
- Tier 3 IT-MAC (~0.3KB)
- Tier 4 KKW ZK (~0.4KB)
Use Cases
Deployment Options
SaaS Recommended
Fully managed infrastructure. Call our REST API, we handle scaling, updates, and operations.
- Zero infrastructure setup
- Automatic updates
- 99.9% uptime SLA
- Enterprise SLA available
SDK Integration
Embed directly in your application. Runs in your codebase with full programmatic control.
npm install @private.me/xpulse- TypeScript/JavaScript SDK
- Full source access
- Enterprise support available
On-Premise Upon Request
Enterprise CLI for compliance, air-gap, or data residency requirements.
- Complete data sovereignty
- Air-gap capable deployment
- Custom SLA + dedicated support
- Professional services included
Enterprise On-Premise Deployment
While xPulse is primarily delivered as SaaS or SDK, we build dedicated on-premise infrastructure for customers with:
- Regulatory mandates — HIPAA, SOX, FedRAMP, CMMC requiring self-hosted processing
- Air-gapped environments — SCIF, classified networks, offline operations
- Data residency requirements — EU GDPR, China data laws, government mandates
- Custom integration needs — Embed in proprietary platforms, specialized workflows
Includes: Enterprise CLI, Docker/Kubernetes orchestration, RBAC, audit logging, and dedicated support.