What is the "Trust Gap" in AI Agents?
The Trust Gap in AI Agents refers to the widening disparity between an autonomous agent's capability to act (e.g., call APIs, query databases) and an organization's ability to verify, constrain, and explain those actions in real-time.
Why the Trust Gap Exists
As companies move from "Chatbots" (read-only) to "Agents" (action-oriented), traditional security tools fail. API Gateways allow traffic, and WAFs look for SQL injection, but neither understands intent.
An agent that deletes a production database table might be executing a valid SQL command, but violating a business policy. This lack of context—knowing why an agent did something—is the generic Trust Gap.
The Three Dimensions of Trust
- Observation: Can you see what the agent is thinking?
- Control: Can you stop it before it executes a harmful action?
- Auditability: Can you prove what happened after the fact?
Closing the Trust Gap
CompFly provides the runtime control plane needed to bridge this gap. By sitting between the agent and its tools, CompFly enforces policy before any action is taken.
See CompFly in Action