AgentGuard
Zero-trust access control for AI agent tool calls.
The Problem
AI agents with tool-use capabilities create runtime risks. When an LLM-powered agent can execute code, access files, or make API calls, a single prompt injection or misalignment can lead to unauthorized actions.
Traditional access control models assume trusted users. AI agents operate with delegated authority, making them a fundamentally different security challenge.
How It Works
Policy
Define fine-grained access control policies for every tool call an agent can make.
Trace
Full traceability of agent actions with structured audit logs.
Approval
Human-in-the-loop approval gates for high-risk operations.
Audit
Comprehensive audit trail for compliance and incident investigation.
Use Cases
Code Execution Agents
Control what code AI agents can execute and what resources they can access.
Browser Automation
Restrict browser agents from accessing unauthorized URLs or submitting forms.
API-Connected Agents
Enforce policies on which APIs agents can call and what data they can send.
Multi-Agent Systems
Coordinate access control across multiple collaborating AI agents.
Related: Nuwa Agent Safety Framework
AgentGuard implements runtime safety principles from the Nuwa Agent Safety Framework (NASF).