Security & Engineering
Building a Zero-Trust Security Model for Autonomous AI Agents
July 18, 20268 min readBy Security Engineering Lead
# Building a Zero-Trust Security Model for Autonomous AI Agents
Giving an AI agent access to business databases and command line tools requires absolute security guarantees. In this technical deep dive, we explore how AI Agents Dock implements zero-trust governance.
## 1. Encrypted Local Storage (SQLite FTS5 + OS Keychain)
All company memory, API tokens, and agent state files are stored in local SQLite databases encrypted using SQLCipher. Key generation is bound strictly to your operating system's native OS Keychain (Windows Credential Manager / macOS Keychain).
## 2. Multi-Tier Permission Boundaries
Every AI employee is assigned one of four permission tiers:
- **READ_ONLY**: Inspect data and schemas without mutation authority.
- **STANDARD_EXECUTION**: Execute predefined scripts and generate reports.
- **HIGH_PRIVILEGE**: Modify code bases or submit GitHub Pull Requests.
- **ADMIN_SYSTEM**: Manage infrastructure and system configurations.
## 3. Human-in-the-Loop Gateways
Critical actions trigger mandatory visual approval cards in your desktop application. No code is deployed to production without explicit 1-click human verification.