Security Whitepaper

Version: 1.0 — March 2026

1. Introduction

Heliox OS is built to be the highly advanced, deeply integrated AI system control layer for your edge device, granting autonomous agents unprecedented access to system modules. Because of this power, rigorous security architecture is inherently critical.

2. Cryptographic Vault Storage

All sensitive credentials—including API keys for cloud frontier models and third-party web driver tokens—are held entirely locally inside the Heliox Secret Vault. The Vault leverages robust AES-256 encryption by default. Unlocking these credentials happens dynamically only during an active execution loop, utilizing encrypted memory buffer pools to strictly prevent key-spillage.

3. Agent Execution Sandboxing

Intelligent system agents present unique risks concerning code execution. Heliox OS implements a strict boundary sandboxing framework:

  • Approval Protocols: Destructive commands, root privilege elevations, or network configuration changes automatically intercept execution to require user supervision.
  • Strict Scopes: Agents are spawned with granular permissions (e.g. permissions=["sys_control", "vision"]). Attempting to operate outside of granted cognitive capabilities instantly terminates the child agent process.
  • Safe File Modifications: Local OS changes are performed in isolated, tracked virtual trees prior to atomic commits, allowing for rapid roll-back in cases of agent hallucination.

4. API Communication Security

If the user opts into Hybrid Mode, all communications relayed from Heliox OS to frontier providers like Google Gemini or Anthropic Claude are secured via strict TLS 1.3 protocol standards. We ensure zero intermediary servers exist—your hardware communicates directly with the foundational AI models.

5. Independent Auditing

Heliox OS is intentionally developed in the open-source light. We rely on cryptographic implementations from the standard Python 3.10+ security suites to prevent custom-crypto vulnerabilities. You are heavily encouraged to audit the underlying agent scripts and execution policies found on our GitHub Repository.

6. Reporting Vulnerabilities

If you have discovered a vulnerability related to the agent's privilege escalation or execution sandboxing, please report it privately before creating a public issue. Email us at: .